diff --git "a/text_data_auction.csv" "b/text_data_auction.csv"
new file mode 100644--- /dev/null
+++ "b/text_data_auction.csv"
@@ -0,0 +1,2044 @@
+instruction,input,response
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+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 2, property.winner 0","False, 200.86"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 154.88888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 108.64"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","True, 85.46666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 1, property.winner 3","True, 82.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 1, property.winner 4","False, 154.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 0","True, 80.95"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 3","True, 78.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 4","False, 197.01"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","True, 80.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 4, property.winner 3","True, 77.91666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 4, property.winner 4","False, 144.69444444444446"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","True, 88.12"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 3","True, 78.84"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 4","True, 78.15"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 112.05"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 322.05555555555554"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","True, 87.1"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 3","True, 97.11"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 4","True, 80.86"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","True, 194.4388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 3","False, 378.8222222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 0, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 4","True, 207.7722222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 59, property.product 1, property.winner 0","False, 646.675"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 564.6346153846154"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 248.21666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","False, 578.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","False, 523.9615384615385"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","True, 90.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 2","True, 94.58333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 3","False, 243.51666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 4","False, 225.05"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 61, property.product 1, property.winner 0","False, 608.2"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 61, property.product 4, property.winner 0","False, 546.3461538461538"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 62, property.product 1, property.winner 0","False, 596.475"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 62, property.product 4, property.winner 0","False, 554.1153846153846"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 63, property.product 1, property.winner 0","False, 603.65"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 63, property.product 4, property.winner 0","False, 553.7692307692307"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 64, property.product 1, property.winner 0","False, 532.8"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 64, property.product 4, property.winner 0","False, 483.46153846153845"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 65, property.product 1, property.winner 0","False, 567.975"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 65, property.product 4, property.winner 0","False, 505.96153846153845"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 66, property.product 1, property.winner 0","False, 564.3"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 66, property.product 4, property.winner 0","False, 496.1730769230769"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 67, property.product 1, property.winner 0","False, 588.9"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 67, property.product 4, property.winner 0","False, 522.6346153846154"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 68, property.product 1, property.winner 0","False, 537.075"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 68, property.product 4, property.winner 0","False, 481.6538461538461"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 1, property.winner 0","False, 544.05"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 178.4"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 4, property.winner 0","False, 512.3461538461538"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 751.1875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 0","True, 518.2"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 2","True, 547.725"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 3","False, 602.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 4","False, 588.2"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","True, 153.51666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 2","True, 151.13333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 3","False, 165.41666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 4","False, 176.71666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 0","True, 418.0576923076923"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 2","True, 451.1538461538461"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 3","False, 529.0769230769231"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 4","False, 518.3653846153846"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 739.475"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 751.9875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 740.4125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 719.45"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 745.5375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 734.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 752.3"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 725.55"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 742.825"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 723.8125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","True, 101.7375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 2","False, 770.2375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 3","False, 770.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 4","True, 106.3375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 1, property.winner 0","False, 513.2333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 2, property.winner 0","False, 1527.53"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 4, property.winner 0","False, 476.3222222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 145.4"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 1, property.winner 0","False, 443.01666666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 2, property.winner 0","False, 1137.465"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 4, property.winner 0","False, 419.8555555555556"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","True, 91.805"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 2","True, 85.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 3","False, 134.325"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 1, property.winner 0","False, 462.0583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 2, property.winner 0","False, 1293.665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 4, property.winner 0","False, 441.8388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 1, property.winner 0","False, 463.7083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 2, property.winner 0","False, 1245.215"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 4, property.winner 0","False, 434.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 1, property.winner 0","False, 463.075"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 2, property.winner 0","False, 1290.88"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 4, property.winner 0","False, 455.26666666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 1, property.winner 0","False, 389.3"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 2, property.winner 0","False, 991.07"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 4, property.winner 0","False, 362.81111111111113"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 1, property.winner 0","False, 411.825"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 2, property.winner 0","False, 1106.455"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 4, property.winner 0","False, 384.3388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 1, property.winner 0","False, 398.48333333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 2, property.winner 0","False, 1098.255"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 4, property.winner 0","False, 377.3944444444445"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 1, property.winner 0","False, 428.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 2, property.winner 0","False, 1236.05"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 4, property.winner 0","False, 417.1388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 1, property.winner 0","False, 395.4583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 2, property.winner 0","False, 917.335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 4, property.winner 0","False, 363.25555555555553"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 1, property.winner 0","False, 412.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 2, property.winner 0","False, 1020.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 109.71"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 4, property.winner 0","False, 399.27777777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 0","True, 383.19166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 2","True, 412.525"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 3","False, 455.6166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 2, property.winner 0","False, 1013.485"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","True, 101.765"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 2","True, 94.635"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 3","False, 99.945"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 0","True, 348.1555555555556"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 2","True, 375.73333333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 3","False, 429.93888888888887"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 2, property.winner 0","False, 1123.56"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 2, property.winner 0","False, 1087.23"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 2, property.winner 0","False, 1260.775"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 2, property.winner 0","False, 1203.43"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 2, property.winner 0","False, 1345.56"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 2, property.winner 0","False, 979.395"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 2, property.winner 0","False, 1127.495"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 2, property.winner 0","False, 1113.075"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 2, property.winner 0","False, 1276.795"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 0","True, 119.28"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 2","True, 312.645"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 3","True, 120.82"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 1, property.winner 0","False, 665.2261904761905"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 2, property.winner 0","False, 1716.807142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 585.7870370370371"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 256.54285714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","False, 616.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 0","False, 1300.9642857142858"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","False, 552.8611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","True, 92.24285714285716"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 2","True, 94.55714285714286"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 3","False, 249.07857142857145"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 4","False, 228.8428571428572"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 1, property.winner 0","False, 640.5119047619048"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 2, property.winner 0","False, 1411.1642857142858"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 4, property.winner 0","False, 565.7037037037037"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 1, property.winner 0","False, 628.7261904761905"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 2, property.winner 0","False, 1390.7428571428572"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 4, property.winner 0","False, 572.4351851851852"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 1, property.winner 0","False, 628.702380952381"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 2, property.winner 0","False, 1417.6285714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 4, property.winner 0","False, 571.8055555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 1, property.winner 0","False, 560.1428571428571"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 2, property.winner 0","False, 1187.6357142857144"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 4, property.winner 0","False, 497.4074074074074"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 1, property.winner 0","False, 586.3333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 2, property.winner 0","False, 1317.15"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 4, property.winner 0","False, 519.2037037037037"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 1, property.winner 0","False, 576.3928571428571"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 2, property.winner 0","False, 1299.5285714285717"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 4, property.winner 0","False, 516.675925925926"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 1, property.winner 0","False, 598.5357142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 2, property.winner 0","False, 1455.3785714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 4, property.winner 0","False, 542.074074074074"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 1, property.winner 0","False, 557.4285714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 2, property.winner 0","False, 1113.7214285714283"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 4, property.winner 0","False, 492.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 1, property.winner 0","False, 573.9642857142857"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 2, property.winner 0","False, 1208.7785714285717"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 184.72142857142856"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 4, property.winner 0","False, 522.9907407407408"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 763.0944444444444"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 0","True, 528.5357142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 2","True, 577.5595238095239"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 3","False, 630.3571428571429"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 4","False, 607.7857142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 2, property.winner 0","False, 1209.7214285714283"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","True, 159.65"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 2","True, 154.2"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 3","False, 178.55"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 4","False, 184.57857142857145"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 0","True, 435.4907407407408"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 2","True, 468.8703703703704"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 3","False, 561.6851851851852"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 4","False, 543.6574074074074"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 758.1166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 2, property.winner 0","False, 1341.2642857142855"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 762.5222222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 2, property.winner 0","False, 1276.2785714285717"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 744.5611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 2, property.winner 0","False, 1459.3357142857142"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 727.5666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 2, property.winner 0","False, 1393.1214285714286"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 748.5722222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 2, property.winner 0","False, 1550.7785714285717"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 735.5444444444445"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 2, property.winner 0","False, 1171.9714285714283"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 740.7777777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 2, property.winner 0","False, 1309.6142857142856"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 734.8444444444444"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 2, property.winner 0","False, 1316.1857142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 736.1833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 2, property.winner 0","False, 1480.9214285714286"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 742.3444444444444"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 0","True, 126.50714285714284"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 2","True, 369.97857142857146"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 3","True, 130.6642857142857"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 4","False, 1386.1571428571428"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","True, 102.61666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 2","False, 783.3722222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 3","False, 782.6888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 4","True, 105.6"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 59, property.product 1, property.winner 0","False, 522.525"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 59, property.product 4, property.winner 0","False, 466.4625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 144.525"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 60, property.product 1, property.winner 0","False, 447.9"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 60, property.product 4, property.winner 0","False, 412.4125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","True, 93.575"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 60, property.product 6, property.winner 2","True, 87.55"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 60, property.product 6, property.winner 3","False, 132.325"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 61, property.product 1, property.winner 0","False, 468.8"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 61, property.product 4, property.winner 0","False, 429.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 62, property.product 1, property.winner 0","False, 476.3"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 62, property.product 4, property.winner 0","False, 431.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 63, property.product 1, property.winner 0","False, 471.675"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 63, property.product 4, property.winner 0","False, 447.0125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 64, property.product 1, property.winner 0","False, 394.275"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 64, property.product 4, property.winner 0","False, 351.3625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 65, property.product 1, property.winner 0","False, 410.15"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 65, property.product 4, property.winner 0","False, 379.2375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 66, property.product 1, property.winner 0","False, 399.35"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 66, property.product 4, property.winner 0","False, 375.925"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 67, property.product 1, property.winner 0","False, 434.025"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 67, property.product 4, property.winner 0","False, 406.8"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 68, property.product 1, property.winner 0","False, 391.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 68, property.product 4, property.winner 0","False, 357.725"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 69, property.product 1, property.winner 0","False, 411.95"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 105.425"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 69, property.product 4, property.winner 0","False, 395.3875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 1, property.winner 0","True, 377.325"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 1, property.winner 2","True, 418.6"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 1, property.winner 3","False, 446.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","True, 98.975"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 3, property.winner 2","True, 94.275"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 3, property.winner 3","False, 100.6"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 4, property.winner 0","True, 345.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 4, property.winner 2","True, 367.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 4, property.winner 3","False, 420.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 59, property.product 1, property.winner 0","False, 654.78125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 570.2708333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 257.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","False, 607.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","False, 544.7708333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","True, 92.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 2","True, 95.97222222222224"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 3","False, 245.36111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 4","False, 230.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 61, property.product 1, property.winner 0","False, 623.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 61, property.product 4, property.winner 0","False, 550.0208333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 62, property.product 1, property.winner 0","False, 620.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 62, property.product 4, property.winner 0","False, 551.4375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 63, property.product 1, property.winner 0","False, 624.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 63, property.product 4, property.winner 0","False, 550.0625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 64, property.product 1, property.winner 0","False, 559.21875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 64, property.product 4, property.winner 0","False, 488.8958333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 65, property.product 1, property.winner 0","False, 578.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 65, property.product 4, property.winner 0","False, 489.4375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 66, property.product 1, property.winner 0","False, 568.4375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 66, property.product 4, property.winner 0","False, 486.6458333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 67, property.product 1, property.winner 0","False, 608.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 67, property.product 4, property.winner 0","False, 526.5833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 68, property.product 1, property.winner 0","False, 560.65625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 68, property.product 4, property.winner 0","False, 485.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 1, property.winner 0","False, 581.90625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 177.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 4, property.winner 0","False, 512.5208333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 745.525"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 0","True, 523.40625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 2","True, 574.21875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 3","False, 609.34375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 4","False, 597.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","True, 156.94444444444446"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 2","True, 148.97222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 3","False, 172.16666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 4","False, 180.72222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 0","True, 429.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 2","True, 457.3958333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 3","False, 563.0625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 4","False, 541.4583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 756.35"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 750.65"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 739.6"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 727.05"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 758.275"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 724.4"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 736.95"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 741.675"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 781.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 736.225"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","True, 103.975"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 2","False, 779.025"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 3","False, 771.8"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 4","True, 104.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 1, property.winner 0","False, 511.4791666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 2, property.winner 0","False, 1525.9107142857142"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 4, property.winner 0","False, 478.0416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 144.30357142857142"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 1, property.winner 0","False, 442.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 2, property.winner 0","False, 1135.2767857142858"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 4, property.winner 0","False, 413.9375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","True, 90.44642857142856"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 2","True, 85.58035714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 3","False, 134.78571428571428"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 1, property.winner 0","False, 459.8229166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 2, property.winner 0","False, 1283.669642857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 4, property.winner 0","False, 438.31944444444446"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 1, property.winner 0","False, 456.28125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 2, property.winner 0","False, 1246.2857142857142"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 4, property.winner 0","False, 437.1875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 1, property.winner 0","False, 462.78125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 2, property.winner 0","False, 1302.4732142857142"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 4, property.winner 0","False, 454.06944444444446"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 1, property.winner 0","False, 387.1354166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 2, property.winner 0","False, 1001.1428571428572"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 4, property.winner 0","False, 358.8611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 1, property.winner 0","False, 412.0729166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 2, property.winner 0","False, 1101.6607142857142"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 4, property.winner 0","False, 384.40277777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 1, property.winner 0","False, 389.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 2, property.winner 0","False, 1109.482142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 4, property.winner 0","False, 384.27777777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 1, property.winner 0","False, 420.5208333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 2, property.winner 0","False, 1233.2767857142858"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 4, property.winner 0","False, 420.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 1, property.winner 0","False, 383.6770833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 2, property.winner 0","False, 910.6964285714286"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 4, property.winner 0","False, 364.56944444444446"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 1, property.winner 0","False, 408.9375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 2, property.winner 0","False, 1011.9642857142856"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 111.11607142857144"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 4, property.winner 0","False, 394.0763888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 0","True, 376.8229166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 2","True, 417.8229166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 3","False, 448.3645833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 2, property.winner 0","False, 1018.7142857142856"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","True, 103.47321428571428"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 2","True, 96.51785714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 3","False, 103.84821428571428"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 0","True, 344.6458333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 2","True, 369.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 3","False, 431.40277777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 2, property.winner 0","False, 1120.4107142857142"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 2, property.winner 0","False, 1082.267857142857"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 2, property.winner 0","False, 1238.5267857142858"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 2, property.winner 0","False, 1198.071428571429"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 2, property.winner 0","False, 1337.205357142857"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 2, property.winner 0","False, 981.2410714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 2, property.winner 0","False, 1129.607142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 2, property.winner 0","False, 1101.482142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 2, property.winner 0","False, 1285.4107142857142"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 0","True, 116.82142857142856"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 2","True, 311.9732142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 3","True, 123.60714285714286"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 1, property.winner 0","False, 678.7037037037037"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 2, property.winner 0","False, 1706.0378787878788"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 583.0763888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 254.7651515151515"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","False, 620.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 0","False, 1310.6818181818182"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","False, 555.9097222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","True, 91.25757575757576"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 2","True, 93.21212121212122"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 3","False, 245.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 4","False, 227.28030303030303"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 1, property.winner 0","False, 641.8703703703703"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 2, property.winner 0","False, 1420.0454545454545"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 4, property.winner 0","False, 570.3402777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 1, property.winner 0","False, 638.2129629629629"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 2, property.winner 0","False, 1396.8484848484848"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 4, property.winner 0","False, 574.0902777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 1, property.winner 0","False, 644.0092592592592"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 2, property.winner 0","False, 1436.7954545454545"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 4, property.winner 0","False, 584.3055555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 1, property.winner 0","False, 569.8611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 2, property.winner 0","False, 1201.8181818181818"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 4, property.winner 0","False, 499.55555555555554"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 1, property.winner 0","False, 596.6203703703703"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 2, property.winner 0","False, 1301.3030303030305"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 4, property.winner 0","False, 524.8055555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 1, property.winner 0","False, 581.6111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 2, property.winner 0","False, 1301.0530303030305"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 4, property.winner 0","False, 506.97222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 1, property.winner 0","False, 619.6574074074074"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 2, property.winner 0","False, 1454.280303030303"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 4, property.winner 0","False, 544.1041666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 1, property.winner 0","False, 574.7037037037037"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 2, property.winner 0","False, 1110.780303030303"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 4, property.winner 0","False, 504.1458333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 1, property.winner 0","False, 590.574074074074"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 2, property.winner 0","False, 1224.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 186.20454545454547"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 4, property.winner 0","False, 531.3402777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 756.5833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 0","True, 548.7129629629629"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 2","True, 596.2870370370371"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 3","False, 636.1111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 4","False, 629.2037037037037"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 2, property.winner 0","False, 1214.3257575757575"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","True, 160.17424242424244"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 2","True, 154.41666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 3","False, 176.54545454545453"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 4","False, 186.8560606060606"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 0","True, 443.4861111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 2","True, 478.5208333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 3","False, 567.4652777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 4","False, 552.0347222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 762.6388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 2, property.winner 0","False, 1325.9318181818182"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 760.2013888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 2, property.winner 0","False, 1279.1742424242425"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 746.9652777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 2, property.winner 0","False, 1451.659090909091"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 729.5902777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 2, property.winner 0","False, 1407.871212121212"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 758.2847222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 2, property.winner 0","False, 1557.2045454545455"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 751.1527777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 2, property.winner 0","False, 1185.1515151515152"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 748.1736111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 2, property.winner 0","False, 1322.4924242424242"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 755.9791666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 2, property.winner 0","False, 1335.5454545454545"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 752.4722222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 2, property.winner 0","False, 1494.6363636363635"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 742.2361111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 0","True, 129.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 2","True, 379.8939393939394"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 3","True, 133.0530303030303"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 4","False, 1396.310606060606"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","True, 103.15972222222224"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 2","False, 786.0694444444445"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 3","False, 793.3263888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 4","True, 104.94444444444444"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 59, property.product 1, property.winner 0","False, 537.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 59, property.product 4, property.winner 0","False, 472.2083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 137.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 60, property.product 1, property.winner 0","False, 478.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 60, property.product 4, property.winner 0","False, 417.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","True, 93.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 60, property.product 6, property.winner 2","True, 92.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 60, property.product 6, property.winner 3","False, 139.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 61, property.product 1, property.winner 0","False, 456.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 61, property.product 4, property.winner 0","False, 441.2916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 62, property.product 1, property.winner 0","False, 473.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 62, property.product 4, property.winner 0","False, 432.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 63, property.product 1, property.winner 0","False, 461.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 63, property.product 4, property.winner 0","False, 457.2916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 64, property.product 1, property.winner 0","False, 387.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 64, property.product 4, property.winner 0","False, 353.2916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 65, property.product 1, property.winner 0","False, 412.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 65, property.product 4, property.winner 0","False, 378.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 66, property.product 1, property.winner 0","False, 397.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 66, property.product 4, property.winner 0","False, 374.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 67, property.product 1, property.winner 0","False, 439.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 67, property.product 4, property.winner 0","False, 415.4583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 68, property.product 1, property.winner 0","False, 400.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 68, property.product 4, property.winner 0","False, 366.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 69, property.product 1, property.winner 0","False, 416.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 113.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 69, property.product 4, property.winner 0","False, 393.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 1, property.winner 0","True, 374.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 1, property.winner 2","True, 403.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 1, property.winner 3","False, 457.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","True, 106.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 3, property.winner 2","True, 94.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 3, property.winner 3","False, 97.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 4, property.winner 0","True, 333.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 4, property.winner 2","True, 361.0416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 0, property.price 70, property.product 4, property.winner 3","False, 421.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 59, property.product 1, property.winner 0","False, 706.4166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 595.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 248.08333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","False, 626.0833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","False, 554.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","True, 92.58333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 2","True, 95.66666666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 3","False, 256.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 60, property.product 6, property.winner 4","False, 225.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 61, property.product 1, property.winner 0","False, 672.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 61, property.product 4, property.winner 0","False, 551.7083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 62, property.product 1, property.winner 0","False, 621.8333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 62, property.product 4, property.winner 0","False, 551.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 63, property.product 1, property.winner 0","False, 643.4166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 63, property.product 4, property.winner 0","False, 581.2916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 64, property.product 1, property.winner 0","False, 574.6666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 64, property.product 4, property.winner 0","False, 495.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 65, property.product 1, property.winner 0","False, 591.0833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 65, property.product 4, property.winner 0","False, 502.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 66, property.product 1, property.winner 0","False, 580.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 66, property.product 4, property.winner 0","False, 512.9583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 67, property.product 1, property.winner 0","False, 635.3333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 67, property.product 4, property.winner 0","False, 531.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 68, property.product 1, property.winner 0","False, 576.8333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 68, property.product 4, property.winner 0","False, 491.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 1, property.winner 0","False, 580.8333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 185.91666666666663"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 4, property.winner 0","False, 511.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 748.1666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 0","True, 537.0833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 2","True, 592.8333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 3","False, 644.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 1, property.winner 4","False, 599.1666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","True, 156.83333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 2","True, 145.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 3","False, 178.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 3, property.winner 4","False, 186.08333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 0","True, 431.3333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 2","True, 456.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 3","False, 533.5833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 4, property.winner 4","False, 547.2916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 757.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 755.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 730.8333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 714.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 741.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 722.3333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 704.4166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 717.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 741.8333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 713.3333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","True, 102.41666666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 2","False, 755.6666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 3","False, 777.3333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 1, process.b4.capacity 1, property.price 80, property.product 5, property.winner 4","True, 103.83333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 1, property.winner 0","False, 521.6944444444445"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 2, property.winner 0","False, 1517.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 4, property.winner 0","False, 474.6388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 142.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 1, property.winner 0","False, 441.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 2, property.winner 0","False, 1159.638888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 4, property.winner 0","False, 411.6111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","True, 88.69444444444444"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 2","True, 83.94444444444444"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 3","False, 133.19444444444446"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 1, property.winner 0","False, 459.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 2, property.winner 0","False, 1291.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 4, property.winner 0","False, 442.2083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 1, property.winner 0","False, 473.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 2, property.winner 0","False, 1236.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 4, property.winner 0","False, 438.4861111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 1, property.winner 0","False, 475.30555555555554"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 2, property.winner 0","False, 1318.361111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 4, property.winner 0","False, 459.72222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 1, property.winner 0","False, 390.52777777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 2, property.winner 0","False, 1024.0277777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 4, property.winner 0","False, 354.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 1, property.winner 0","False, 413.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 2, property.winner 0","False, 1109.2777777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 4, property.winner 0","False, 389.30555555555554"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 1, property.winner 0","False, 396.30555555555554"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 2, property.winner 0","False, 1117.138888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 4, property.winner 0","False, 382.7361111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 1, property.winner 0","False, 422.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 2, property.winner 0","False, 1228.4722222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 4, property.winner 0","False, 420.09722222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 1, property.winner 0","False, 386.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 2, property.winner 0","False, 901.3611111111112"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 4, property.winner 0","False, 365.97222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 1, property.winner 0","False, 419.3333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 2, property.winner 0","False, 1015.2777777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 107.02777777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 4, property.winner 0","False, 401.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 0","True, 376.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 2","True, 415.1388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 3","False, 442.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 2, property.winner 0","False, 1009.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","True, 99.41666666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 2","True, 96.27777777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 3","False, 99.80555555555556"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 0","True, 345.8611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 2","True, 371.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 3","False, 433.1388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 2, property.winner 0","False, 1123.6944444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 2, property.winner 0","False, 1067.611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 2, property.winner 0","False, 1249.5277777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 2, property.winner 0","False, 1189.4444444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 2, property.winner 0","False, 1342.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 2, property.winner 0","False, 1001.9444444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 2, property.winner 0","False, 1128.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 2, property.winner 0","False, 1107.888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 2, property.winner 0","False, 1272.6944444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 0","True, 119.83333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 2","True, 316.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 3","True, 127.83333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 1, property.winner 0","False, 688.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 2, property.winner 0","False, 1721.236111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 588.4916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 259.52777777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","False, 630.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 0","False, 1308.6805555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","False, 550.225"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","True, 90.66666666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 2","True, 91.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 3","False, 241.76388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 4","False, 226.08333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 1, property.winner 0","False, 645.9722222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 2, property.winner 0","False, 1430.5694444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 4, property.winner 0","False, 566.8166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 1, property.winner 0","False, 657.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 2, property.winner 0","False, 1390.6527777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 4, property.winner 0","False, 574.3916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 1, property.winner 0","False, 667.4861111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 2, property.winner 0","False, 1448.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 4, property.winner 0","False, 585.7666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 1, property.winner 0","False, 575.9861111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 2, property.winner 0","False, 1195.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 4, property.winner 0","False, 494.675"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 1, property.winner 0","False, 611.1388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 2, property.winner 0","False, 1303.4722222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 4, property.winner 0","False, 515.975"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 1, property.winner 0","False, 608.9722222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 2, property.winner 0","False, 1314.3194444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 4, property.winner 0","False, 510.90833333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 1, property.winner 0","False, 645.7222222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 2, property.winner 0","False, 1459.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 4, property.winner 0","False, 548.0166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 1, property.winner 0","False, 590.8472222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 2, property.winner 0","False, 1112.236111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 4, property.winner 0","False, 503.98333333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 1, property.winner 0","False, 614.9861111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 2, property.winner 0","False, 1226.513888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 189.88888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 4, property.winner 0","False, 530.225"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 757.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 0","True, 554.0416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 2","True, 609.0972222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 3","False, 642.6527777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 4","False, 640.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 2, property.winner 0","False, 1231.486111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","True, 160.40277777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 2","True, 152.61111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 3","False, 176.68055555555554"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 4","False, 190.08333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 0","True, 444.475"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 2","True, 474.9666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 3","False, 571.8333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 4","False, 557.3333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 760.3611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 2, property.winner 0","False, 1345.888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 761.2361111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 2, property.winner 0","False, 1291.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 757.0972222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 2, property.winner 0","False, 1480.0277777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 729.4305555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 2, property.winner 0","False, 1425.486111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 747.4583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 2, property.winner 0","False, 1560.8055555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 756.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 2, property.winner 0","False, 1181.1944444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 743.7638888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 2, property.winner 0","False, 1324.9583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 747.3055555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 2, property.winner 0","False, 1316.5416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 740.7222222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 2, property.winner 0","False, 1484.5555555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 746.1527777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 0","True, 127.43055555555556"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 2","True, 387.3888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 3","True, 134.61111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 4","False, 1394.8472222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","True, 101.33333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 2","False, 798.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 3","False, 782.8888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 0, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 4","True, 101.68055555555556"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 2, property.winner 0","False, 35478.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 1719.2291666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 2, property.winner 0","False, 24690.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","False, 1196.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 2, property.winner 0","False, 28678.229166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 6, property.winner 0","False, 1255.9583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 2, property.winner 0","False, 27198.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 6, property.winner 0","False, 1202.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 2, property.winner 0","False, 29408.0625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 6, property.winner 0","False, 1260.4375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 2, property.winner 0","False, 21949.354166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 6, property.winner 0","False, 1168.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 2, property.winner 0","False, 26256.45833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 6, property.winner 0","False, 1236.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 2, property.winner 0","False, 25369.6875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 6, property.winner 0","False, 1279.8958333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 2, property.winner 0","False, 29925.041666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 6, property.winner 0","False, 1483.7916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 2, property.winner 0","False, 19271.291666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 6, property.winner 0","False, 1078.7708333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 2, property.winner 0","False, 22848.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 465.8541666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 6, property.winner 0","False, 1105.9375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 2, property.winner 0","False, 21991.9375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","False, 476.7708333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 6, property.winner 0","False, 1165.1875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 2, property.winner 0","False, 25994.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 3, property.winner 0","False, 444.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 6, property.winner 0","False, 1328.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 2, property.winner 0","False, 24081.77083333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 3, property.winner 0","False, 462.2708333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 6, property.winner 0","False, 1268.4791666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 2, property.winner 0","False, 29144.604166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 3, property.winner 0","False, 431.1875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 6, property.winner 0","False, 1409.3958333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 2, property.winner 0","False, 27501.9375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 3, property.winner 0","False, 467.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 6, property.winner 0","False, 1352.9583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 2, property.winner 0","False, 31956.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 3, property.winner 0","False, 442.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 6, property.winner 0","False, 1573.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 2, property.winner 0","False, 20463.4375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 3, property.winner 0","False, 480.7916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 6, property.winner 0","False, 1128.0208333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 2, property.winner 0","False, 25185.479166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 3, property.winner 0","False, 437.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 6, property.winner 0","False, 1250.6041666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 2, property.winner 0","False, 23841.14583333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 3, property.winner 0","False, 478.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 6, property.winner 0","False, 1217.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 2, property.winner 0","False, 28590.20833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 3, property.winner 0","False, 443.0416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 6, property.winner 0","False, 1407.3333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 0","True, 5465.270833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 1","True, 5927.4375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 2","False, 27858.77083333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 3","False, 29312.479166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 0","True, 92.33333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 1","True, 91.35416666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 2","False, 477.7083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 3","False, 470.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 0","True, 333.0208333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 1","True, 335.9375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 2","False, 1394.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 3","False, 1434.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 2, property.winner 0","False, 40353.88888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 4476.416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 0","False, 28170.11111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","False, 3407.333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 2, property.winner 0","False, 31292.38888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 6, property.winner 0","False, 3331.222222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 2, property.winner 0","False, 30704.222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 6, property.winner 0","False, 3418.722222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 2, property.winner 0","False, 32320.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 6, property.winner 0","False, 3304.4166666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 2, property.winner 0","False, 27020.277777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 6, property.winner 0","False, 3243.833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 2, property.winner 0","False, 31143.472222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 6, property.winner 0","False, 3505.777777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 2, property.winner 0","False, 30776.722222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 6, property.winner 0","False, 3630.5833333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 2, property.winner 0","False, 35298.805555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 6, property.winner 0","False, 3996.944444444444"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 2, property.winner 0","False, 24020.194444444445"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 6, property.winner 0","False, 3008.1388888888887"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 2, property.winner 0","False, 27255.555555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 1560.3055555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 8812.222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 6, property.winner 0","False, 3094.972222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 2, property.winner 0","False, 26999.63888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","False, 1557.0555555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 8872.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 6, property.winner 0","False, 3136.4166666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 2, property.winner 0","False, 31141.61111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 3, property.winner 0","False, 1522.9444444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 8882.138888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 6, property.winner 0","False, 3598.555555555556"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 2, property.winner 0","False, 29333.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 3, property.winner 0","False, 1521.5555555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 8841.111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 6, property.winner 0","False, 3397.222222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 2, property.winner 0","False, 34668.22222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 3, property.winner 0","False, 1317.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 8684.027777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 6, property.winner 0","False, 3898.3888888888887"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 2, property.winner 0","False, 32808.083333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 3, property.winner 0","False, 1506.9444444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 8988.388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 6, property.winner 0","False, 3705.805555555556"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 2, property.winner 0","False, 37421.16666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 3, property.winner 0","False, 1392.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 8798.722222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 6, property.winner 0","False, 4176.805555555556"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 2, property.winner 0","False, 25194.555555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 3, property.winner 0","False, 1537.0555555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 8792.972222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 6, property.winner 0","False, 3098.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 2, property.winner 0","False, 29798.027777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 3, property.winner 0","False, 1323.611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 8758.444444444445"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 6, property.winner 0","False, 3379.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 2, property.winner 0","False, 28727.222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 3, property.winner 0","False, 1529.7777777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 8900.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 6, property.winner 0","False, 3321.6388888888887"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 2, property.winner 0","False, 33975.333333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 3, property.winner 0","False, 1461.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 8895.416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 6, property.winner 0","False, 3782.8333333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 0","True, 6619.138888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 1","True, 6903.833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 2","False, 33476.13888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 3","False, 35103.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 4","False, 31005.86111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 0","True, 115.94444444444444"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 1","True, 115.66666666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 2","False, 1461.9444444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 3","False, 1380.361111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 4","False, 1556.5555555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","False, 8744.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 0","True, 843.1944444444445"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 1","True, 882.8888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 2","False, 3754.1388888888887"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 3","False, 3872.194444444444"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 4","False, 3535.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 81, property.product 5, property.winner 0","False, 8469.611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 82, property.product 5, property.winner 0","False, 8772.416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 83, property.product 5, property.winner 0","False, 8603.527777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 84, property.product 5, property.winner 0","False, 8788.916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 85, property.product 5, property.winner 0","False, 8452.833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 86, property.product 5, property.winner 0","False, 8802.611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 87, property.product 5, property.winner 0","False, 8622.666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 88, property.product 5, property.winner 0","False, 8761.166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 89, property.product 5, property.winner 0","False, 8645.388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 0","True, 81.88888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 1","True, 1433.0277777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 2","False, 10424.472222222224"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 3","False, 9327.916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 4","True, 84.72222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 1, property.winner 0","False, 15105.916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 2, property.winner 0","False, 35231.433333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 4, property.winner 0","False, 951.8333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 1703.1"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 1, property.winner 0","False, 10599.277777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 2, property.winner 0","False, 24628.88333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 4, property.winner 0","False, 882.3333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","False, 1168.7166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 1, property.winner 0","False, 12062.361111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 2, property.winner 0","False, 28386.733333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 4, property.winner 0","False, 927.1944444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 6, property.winner 0","False, 1241.9"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 1, property.winner 0","False, 11614.972222222224"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 2, property.winner 0","False, 27104.533333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 4, property.winner 0","False, 921.4722222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 6, property.winner 0","False, 1217.8833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 1, property.winner 0","False, 12824.388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 2, property.winner 0","False, 29260.85"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 4, property.winner 0","False, 952.1388888888888"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 6, property.winner 0","False, 1215.6"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 1, property.winner 0","False, 9324.944444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 2, property.winner 0","False, 21867.43333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 4, property.winner 0","False, 737.0555555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 6, property.winner 0","False, 1151.7"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 1, property.winner 0","False, 11079.166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 2, property.winner 0","False, 26133.13333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 4, property.winner 0","False, 795.4166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 6, property.winner 0","False, 1243.2166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 1, property.winner 0","False, 10866.777777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 2, property.winner 0","False, 25322.6"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 4, property.winner 0","False, 790.6944444444445"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 6, property.winner 0","False, 1267.6333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 1, property.winner 0","False, 12906.527777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 2, property.winner 0","False, 29747.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 4, property.winner 0","False, 834.6111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 6, property.winner 0","False, 1472.2666666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 1, property.winner 0","False, 8803.194444444445"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 2, property.winner 0","False, 19010.85"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 4, property.winner 0","False, 738.8888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 6, property.winner 0","False, 1065.3833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 1, property.winner 0","False, 10437.833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 2, property.winner 0","False, 22603.08333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 455.28333333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 4, property.winner 0","False, 824.2222222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 6, property.winner 0","False, 1102.4666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 0","False, 10025.777777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 2, property.winner 0","False, 21829.18333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","False, 473.51666666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 0","True, 403.94444444444446"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 1","False, 908.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 2","True, 462.44444444444446"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 3","False, 937.6666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 6, property.winner 0","False, 1166.95"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 1, property.winner 0","False, 11753.944444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 2, property.winner 0","False, 25648.316666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 3, property.winner 0","False, 434.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 6, property.winner 0","False, 1305.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 1, property.winner 0","False, 10487.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 2, property.winner 0","False, 23891.516666666663"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 3, property.winner 0","False, 456.6833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 6, property.winner 0","False, 1227.0666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 1, property.winner 0","False, 12919.166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 2, property.winner 0","False, 28885.4"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 3, property.winner 0","False, 414.85"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 6, property.winner 0","False, 1391.7"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 1, property.winner 0","False, 12246.888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 2, property.winner 0","False, 27252.783333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 3, property.winner 0","False, 455.9"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 6, property.winner 0","False, 1324.8833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 1, property.winner 0","False, 14634.222222222224"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 2, property.winner 0","False, 31755.55"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 3, property.winner 0","False, 427.35"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 6, property.winner 0","False, 1568.15"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 1, property.winner 0","False, 9649.305555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 2, property.winner 0","False, 20316.65"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 3, property.winner 0","False, 460.05"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 6, property.winner 0","False, 1124.8"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 1, property.winner 0","False, 11680.277777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 2, property.winner 0","False, 24790.216666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 3, property.winner 0","False, 422.28333333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 6, property.winner 0","False, 1224.9"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 1, property.winner 0","False, 11226.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 2, property.winner 0","False, 23479.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 3, property.winner 0","False, 471.98333333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 6, property.winner 0","False, 1191.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 1, property.winner 0","False, 13372.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 2, property.winner 0","False, 28241.266666666663"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 3, property.winner 0","False, 434.45"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 6, property.winner 0","False, 1377.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 1, property.winner 0","False, 10009.222222222224"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 0","True, 5507.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 1","True, 5922.533333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 2","False, 27633.43333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 3","False, 29100.45"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 0","True, 91.1"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 1","True, 86.88333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 2","False, 472.35"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 3","False, 465.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 0","True, 324.35"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 1","True, 334.1"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 2","False, 1372.45"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 3","False, 1422.1333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 81, property.product 1, property.winner 0","False, 12243.333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 82, property.product 1, property.winner 0","False, 12013.694444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 83, property.product 1, property.winner 0","False, 13958.722222222224"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 84, property.product 1, property.winner 0","False, 9265.694444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 85, property.product 1, property.winner 0","False, 11109.944444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 86, property.product 1, property.winner 0","False, 10743.111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 87, property.product 1, property.winner 0","False, 12694.277777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 88, property.product 1, property.winner 0","False, 10967.305555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 89, property.product 1, property.winner 0","False, 12809.388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 0","True, 229.94444444444449"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 1","True, 5484.194444444444"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 2","True, 248.02777777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 3","False, 14678.444444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 1, property.winner 0","False, 21354.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 2, property.winner 0","False, 40048.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 1250.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 4488.309523809524"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","False, 16957.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 0","False, 28181.654761904763"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","False, 1205.1458333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","False, 3310.369047619048"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 1, property.winner 0","False, 17870.708333333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 2, property.winner 0","False, 31158.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 4, property.winner 0","False, 1200.2083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 6, property.winner 0","False, 3308.2380952380954"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 1, property.winner 0","False, 17725.583333333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 2, property.winner 0","False, 30506.29761904762"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 4, property.winner 0","False, 1215.7916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 6, property.winner 0","False, 3405.119047619048"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 1, property.winner 0","False, 18380.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 2, property.winner 0","False, 31941.02380952381"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 4, property.winner 0","False, 1202.3958333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 6, property.winner 0","False, 3289.119047619048"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 1, property.winner 0","False, 15591.791666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 2, property.winner 0","False, 26735.916666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 4, property.winner 0","False, 1045.0625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 6, property.winner 0","False, 3233.369047619048"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 1, property.winner 0","False, 17312.208333333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 2, property.winner 0","False, 30919.059523809523"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 4, property.winner 0","False, 1122.1041666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 6, property.winner 0","False, 3484.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 1, property.winner 0","False, 17394.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 2, property.winner 0","False, 30479.69047619048"
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+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 2, property.winner 0","False, 35290.02380952381"
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+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 6, property.winner 0","False, 4002.7619047619046"
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+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 2, property.winner 0","False, 23673.714285714286"
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+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","False, 1506.702380952381"
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+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 2, property.winner 0","False, 34327.72619047619"
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+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 8815.285714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 6, property.winner 0","False, 4192.309523809524"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 1, property.winner 0","False, 15996.916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 2, property.winner 0","False, 25032.92857142857"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 3, property.winner 0","False, 1499.809523809524"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 8864.92857142857"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 6, property.winner 0","False, 3090.2261904761904"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 1, property.winner 0","False, 17889.270833333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 2, property.winner 0","False, 29347.09523809524"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 3, property.winner 0","False, 1305.9761904761904"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 8737.761904761905"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 6, property.winner 0","False, 3362.1309523809523"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 1, property.winner 0","False, 17562.354166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 2, property.winner 0","False, 28582.166666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 3, property.winner 0","False, 1496.654761904762"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 8956.547619047618"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 6, property.winner 0","False, 3317.333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 1, property.winner 0","False, 19533.479166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 2, property.winner 0","False, 33535.94047619047"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 3, property.winner 0","False, 1428.654761904762"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 8872.52380952381"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 6, property.winner 0","False, 3786.9166666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 1, property.winner 0","False, 16578.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 0","True, 6498.678571428572"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 1","True, 6873.357142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 2","False, 33036.51190476191"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 3","False, 34739.78571428572"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 4","False, 30918.011904761905"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 0","True, 115.52380952380952"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 1","True, 113.11904761904762"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 2","False, 1410.690476190476"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 3","False, 1344.845238095238"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 4","False, 1517.904761904762"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","False, 8803.607142857143"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 0","True, 820.8214285714286"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 1","True, 869.3690476190476"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 2","False, 3766.571428571429"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 3","False, 3902.880952380952"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 4","False, 3522.535714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 81, property.product 1, property.winner 0","False, 18419.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 81, property.product 5, property.winner 0","False, 8581.642857142857"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 82, property.product 1, property.winner 0","False, 18776.541666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 82, property.product 5, property.winner 0","False, 8835.535714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 83, property.product 1, property.winner 0","False, 20564.229166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 83, property.product 5, property.winner 0","False, 8636.142857142857"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 84, property.product 1, property.winner 0","False, 15453.645833333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 84, property.product 5, property.winner 0","False, 8829.809523809523"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 85, property.product 1, property.winner 0","False, 16927.208333333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 85, property.product 5, property.winner 0","False, 8580.047619047618"
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+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 86, property.product 5, property.winner 0","False, 8876.035714285714"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 87, property.product 1, property.winner 0","False, 19013.916666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 87, property.product 5, property.winner 0","False, 8657.702380952382"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 88, property.product 1, property.winner 0","False, 17723.729166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 88, property.product 5, property.winner 0","False, 8813.011904761905"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 89, property.product 1, property.winner 0","False, 19083.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 89, property.product 5, property.winner 0","False, 8585.392857142857"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 0","True, 309.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 1","True, 8595.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 2","True, 320.9791666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 3","False, 22622.479166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 4","False, 20320.8125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 0","True, 85.05952380952381"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 1","True, 1434.702380952381"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 2","False, 10322.02380952381"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 3","False, 9352.27380952381"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 4","True, 84.33333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 1, property.winner 0","False, 15616.472222222224"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 2, property.winner 0","False, 35540.36111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 4, property.winner 0","False, 955.5833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 1669.5277777777778"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 1, property.winner 0","False, 11175.388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 2, property.winner 0","False, 24691.58333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 4, property.winner 0","False, 865.4166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","False, 1151.4444444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 1, property.winner 0","False, 12617.861111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 2, property.winner 0","False, 28355.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 4, property.winner 0","False, 942.8333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 6, property.winner 0","False, 1202.3055555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 1, property.winner 0","False, 12199.222222222224"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 2, property.winner 0","False, 27208.777777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 4, property.winner 0","False, 895.3541666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 6, property.winner 0","False, 1187.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 1, property.winner 0","False, 13551.111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 2, property.winner 0","False, 29315.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 4, property.winner 0","False, 937.2083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 6, property.winner 0","False, 1189.9722222222222"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 1, property.winner 0","False, 9836.805555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 2, property.winner 0","False, 22089.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 4, property.winner 0","False, 732.2708333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 6, property.winner 0","False, 1128.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 1, property.winner 0","False, 11583.444444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 2, property.winner 0","False, 26265.805555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 4, property.winner 0","False, 782.1458333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 6, property.winner 0","False, 1176.361111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 1, property.winner 0","False, 11422.277777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 2, property.winner 0","False, 25321.305555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 4, property.winner 0","False, 783.1875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 6, property.winner 0","False, 1220.3055555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 1, property.winner 0","False, 13531.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 2, property.winner 0","False, 29873.527777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 4, property.winner 0","False, 833.9583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 6, property.winner 0","False, 1416.888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 1, property.winner 0","False, 9286.666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 2, property.winner 0","False, 19076.694444444445"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 4, property.winner 0","False, 728.1875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 6, property.winner 0","False, 1046.1944444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 1, property.winner 0","False, 11055.888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 2, property.winner 0","False, 22697.61111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 443.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 4, property.winner 0","False, 802.3333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 6, property.winner 0","False, 1052.611111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 0","False, 10450.527777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 2, property.winner 0","False, 21929.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","False, 465.97222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 0","True, 395.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 1","False, 880.0208333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 2","True, 441.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 3","False, 878.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 6, property.winner 0","False, 1110.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 1, property.winner 0","False, 12458.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 2, property.winner 0","False, 25939.36111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 3, property.winner 0","False, 428.27777777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 6, property.winner 0","False, 1260.638888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 1, property.winner 0","False, 11022.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 2, property.winner 0","False, 24071.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 3, property.winner 0","False, 469.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 6, property.winner 0","False, 1221.0555555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 1, property.winner 0","False, 13506.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 2, property.winner 0","False, 28894.08333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 3, property.winner 0","False, 426.3888888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 6, property.winner 0","False, 1336.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 1, property.winner 0","False, 12918.138888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 2, property.winner 0","False, 27155.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 3, property.winner 0","False, 459.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 6, property.winner 0","False, 1288.138888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 1, property.winner 0","False, 15422.694444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 2, property.winner 0","False, 31665.027777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 3, property.winner 0","False, 430.6388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 6, property.winner 0","False, 1523.638888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 1, property.winner 0","False, 10253.805555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 2, property.winner 0","False, 20351.916666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 3, property.winner 0","False, 453.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 6, property.winner 0","False, 1087.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 1, property.winner 0","False, 12401.027777777776"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 2, property.winner 0","False, 24788.555555555555"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 3, property.winner 0","False, 430.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 6, property.winner 0","False, 1179.3333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 1, property.winner 0","False, 11979.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 2, property.winner 0","False, 23830.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 3, property.winner 0","False, 472.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 6, property.winner 0","False, 1148.388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 1, property.winner 0","False, 14080.805555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 2, property.winner 0","False, 28434.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 3, property.winner 0","False, 429.1111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 6, property.winner 0","False, 1353.361111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 1, property.winner 0","False, 10660.166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 0","True, 5495.166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 1","True, 5947.333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 2","False, 27606.88888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 3","False, 29080.36111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 0","True, 95.83333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 1","True, 88.30555555555556"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 2","False, 477.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 3","False, 458.52777777777777"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 0","True, 318.22222222222223"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 1","True, 330.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 2","False, 1344.4444444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 3","False, 1410.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 81, property.product 1, property.winner 0","False, 13030.055555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 82, property.product 1, property.winner 0","False, 12591.722222222224"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 83, property.product 1, property.winner 0","False, 14871.666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 84, property.product 1, property.winner 0","False, 9822.138888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 85, property.product 1, property.winner 0","False, 11790.111111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 86, property.product 1, property.winner 0","False, 11445.416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 87, property.product 1, property.winner 0","False, 13361.444444444443"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 88, property.product 1, property.winner 0","False, 11642.361111111111"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 89, property.product 1, property.winner 0","False, 13410.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 0","True, 249.41666666666663"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 1","True, 5746.388888888889"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 2","True, 262.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 3","False, 15422.555555555557"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 1, property.winner 0","False, 22241.48958333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 2, property.winner 0","False, 43504.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 1271.925"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 3848.6354166666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","False, 17555.989583333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 0","False, 30808.260416666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","False, 1229.1333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","False, 2850.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 1, property.winner 0","False, 18410.92708333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 2, property.winner 0","False, 34018.71875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 4, property.winner 0","False, 1251.65"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 6, property.winner 0","False, 2844.2604166666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 1, property.winner 0","False, 18422.45833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 2, property.winner 0","False, 33321.9375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 4, property.winner 0","False, 1250.8833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 6, property.winner 0","False, 2946.09375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 1, property.winner 0","False, 19091.48958333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 2, property.winner 0","False, 34839.083333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 4, property.winner 0","False, 1261.8083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 6, property.winner 0","False, 2846.802083333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 1, property.winner 0","False, 15925.645833333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 2, property.winner 0","False, 29289.05208333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 4, property.winner 0","False, 1092.0083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 6, property.winner 0","False, 2796.114583333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 1, property.winner 0","False, 17885.104166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 2, property.winner 0","False, 33805.53125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 4, property.winner 0","False, 1133.7166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 6, property.winner 0","False, 2996.3854166666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 1, property.winner 0","False, 17973.489583333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 2, property.winner 0","False, 33244.0625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 4, property.winner 0","False, 1127.1833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 6, property.winner 0","False, 3051.927083333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 1, property.winner 0","False, 19897.854166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 2, property.winner 0","False, 38404.65625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 4, property.winner 0","False, 1185.3666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 6, property.winner 0","False, 3455.427083333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 1, property.winner 0","False, 15442.385416666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 2, property.winner 0","False, 25661.40625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 4, property.winner 0","False, 1088.0083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 6, property.winner 0","False, 2576.0416666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 1, property.winner 0","False, 16789.885416666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 2, property.winner 0","False, 29482.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 1637.90625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 4, property.winner 0","False, 1140.5666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 8347.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 6, property.winner 0","False, 2660.5729166666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 0","False, 16715.854166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 2, property.winner 0","False, 28977.28125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","False, 1639.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 0","True, 522.1333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 1","False, 1214.0916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 2","True, 569.0583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 3","False, 1231.8416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 4","False, 1222.7416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 8528.96875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 6, property.winner 0","False, 2689.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 1, property.winner 0","False, 18425.86458333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 2, property.winner 0","False, 33755.635416666664"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 3, property.winner 0","False, 1593.34375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 8466.041666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 6, property.winner 0","False, 3058.8125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 1, property.winner 0","False, 17625.03125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 2, property.winner 0","False, 31622.760416666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 3, property.winner 0","False, 1576.1458333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 8473.489583333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 6, property.winner 0","False, 2930.708333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 1, property.winner 0","False, 20074.77083333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 2, property.winner 0","False, 37136.01041666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 3, property.winner 0","False, 1386.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 8337.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 6, property.winner 0","False, 3309.4791666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 1, property.winner 0","False, 19798.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 2, property.winner 0","False, 35315.354166666664"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 3, property.winner 0","False, 1593.3333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 8546.197916666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 6, property.winner 0","False, 3221.3541666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 1, property.winner 0","False, 21968.916666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 2, property.winner 0","False, 40599.90625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 3, property.winner 0","False, 1457.7291666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 8369.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 6, property.winner 0","False, 3624.7291666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 1, property.winner 0","False, 16303.520833333334"
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+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 3, property.winner 0","False, 1642.2291666666667"
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+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 6, property.winner 0","False, 2641.864583333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 1, property.winner 0","False, 18302.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 2, property.winner 0","False, 32210.0625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 3, property.winner 0","False, 1381.3333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 8339.510416666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 6, property.winner 0","False, 2900.583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 1, property.winner 0","False, 18168.90625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 2, property.winner 0","False, 31247.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 3, property.winner 0","False, 1617.1979166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 8533.53125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 6, property.winner 0","False, 2862.46875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 1, property.winner 0","False, 20222.64583333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 2, property.winner 0","False, 36771.88541666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 3, property.winner 0","False, 1547.4791666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 8481.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 6, property.winner 0","False, 3270.6666666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 1, property.winner 0","False, 17158.770833333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 0","True, 7088.239583333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 1","True, 7486.739583333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 2","False, 35904.197916666664"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 3","False, 37800.47916666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 4","False, 33720.28125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 0","True, 118.29166666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 1","True, 117.39583333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 2","False, 1543.1875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 3","False, 1483.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 4","False, 1648.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","False, 8388.552083333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 0","True, 710.6354166666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 1","True, 746.4895833333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 2","False, 3254.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 3","False, 3327.46875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 4","False, 3026.7916666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 81, property.product 1, property.winner 0","False, 19181.89583333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 81, property.product 5, property.winner 0","False, 8155.479166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 82, property.product 1, property.winner 0","False, 19397.166666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 82, property.product 5, property.winner 0","False, 8396.270833333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 83, property.product 1, property.winner 0","False, 21139.03125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 83, property.product 5, property.winner 0","False, 8272.552083333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 84, property.product 1, property.winner 0","False, 16014.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 84, property.product 5, property.winner 0","False, 8400.104166666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 85, property.product 1, property.winner 0","False, 17491.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 85, property.product 5, property.winner 0","False, 8175.760416666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 86, property.product 1, property.winner 0","False, 17693.197916666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 86, property.product 5, property.winner 0","False, 8440.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 87, property.product 1, property.winner 0","False, 19670.23958333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 87, property.product 5, property.winner 0","False, 8238.229166666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 88, property.product 1, property.winner 0","False, 18298.104166666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 88, property.product 5, property.winner 0","False, 8391.197916666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 89, property.product 1, property.winner 0","False, 19702.947916666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 89, property.product 5, property.winner 0","False, 8222.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 0","True, 317.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 1","True, 8812.604166666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 2","True, 328.5208333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 3","False, 23376.260416666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 4","False, 20750.822916666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 0","True, 87.32291666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 1","True, 1393.2916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 2","False, 9928.385416666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 3","False, 8954.65625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 1, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 4","True, 84.39583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 2, property.winner 0","False, 35755.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 1673.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 2, property.winner 0","False, 24781.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","False, 1158.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 2, property.winner 0","False, 28482.166666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 6, property.winner 0","False, 1181.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 2, property.winner 0","False, 26956.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 6, property.winner 0","False, 1173.3333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 2, property.winner 0","False, 29323.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 6, property.winner 0","False, 1227.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 2, property.winner 0","False, 22294.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 6, property.winner 0","False, 1133.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 2, property.winner 0","False, 26628.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 6, property.winner 0","False, 1208.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 2, property.winner 0","False, 25153.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 6, property.winner 0","False, 1270.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 2, property.winner 0","False, 29889.916666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 6, property.winner 0","False, 1438.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 2, property.winner 0","False, 19152.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 6, property.winner 0","False, 1062.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 2, property.winner 0","False, 22427.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 486.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 6, property.winner 0","False, 1097.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 2, property.winner 0","False, 21676.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","False, 460.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 6, property.winner 0","False, 1090.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 2, property.winner 0","False, 25634.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 3, property.winner 0","False, 420.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 6, property.winner 0","False, 1257.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 2, property.winner 0","False, 23956.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 3, property.winner 0","False, 459.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 6, property.winner 0","False, 1200.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 2, property.winner 0","False, 29160.33333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 3, property.winner 0","False, 411.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 6, property.winner 0","False, 1366.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 2, property.winner 0","False, 27455.916666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 3, property.winner 0","False, 436.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 6, property.winner 0","False, 1341.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 2, property.winner 0","False, 32026.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 3, property.winner 0","False, 414.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 6, property.winner 0","False, 1554.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 2, property.winner 0","False, 20526.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 3, property.winner 0","False, 430.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 6, property.winner 0","False, 1098.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 2, property.winner 0","False, 25060.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 3, property.winner 0","False, 407.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 6, property.winner 0","False, 1192.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 2, property.winner 0","False, 23851.33333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 3, property.winner 0","False, 448.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 6, property.winner 0","False, 1167.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 2, property.winner 0","False, 28519.58333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 3, property.winner 0","False, 413.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 6, property.winner 0","False, 1378.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 0","True, 5475.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 1","True, 5869.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 2","False, 27715.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 3","False, 29122.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 0","True, 91.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 1","True, 82.41666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 2","False, 447.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 3","False, 451.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 0","True, 325.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 1","True, 331.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 2","False, 1340.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 3","False, 1409.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 2, property.winner 0","False, 42828.41666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 4314.666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 0","False, 30182.08333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","False, 3177.833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 2, property.winner 0","False, 33404.083333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 6, property.winner 0","False, 3254.833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 2, property.winner 0","False, 32211.58333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 6, property.winner 0","False, 3325.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 2, property.winner 0","False, 33379.666666666664"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 6, property.winner 0","False, 3197.833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 2, property.winner 0","False, 28715.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 6, property.winner 0","False, 3165.6666666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 2, property.winner 0","False, 32717.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 6, property.winner 0","False, 3429.583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 2, property.winner 0","False, 32885.333333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 6, property.winner 0","False, 3583.083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 2, property.winner 0","False, 37601.083333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 6, property.winner 0","False, 3890.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 2, property.winner 0","False, 25074.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 6, property.winner 0","False, 2857.833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 2, property.winner 0","False, 28568.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 1621.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 8394.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 6, property.winner 0","False, 2958.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 2, property.winner 0","False, 28439.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","False, 1565.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 8681.333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 6, property.winner 0","False, 3067.083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 2, property.winner 0","False, 33140.583333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 3, property.winner 0","False, 1531.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 8412.416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 6, property.winner 0","False, 3482.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 2, property.winner 0","False, 30985.58333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 3, property.winner 0","False, 1497.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 8523.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 6, property.winner 0","False, 3339.583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 2, property.winner 0","False, 35913.583333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 3, property.winner 0","False, 1333.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 8370.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 6, property.winner 0","False, 3627.1666666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 2, property.winner 0","False, 34507.416666666664"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 3, property.winner 0","False, 1544.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 8782.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 6, property.winner 0","False, 3690.3333333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 2, property.winner 0","False, 39183.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 3, property.winner 0","False, 1412.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 8354.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 6, property.winner 0","False, 4084.5833333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 2, property.winner 0","False, 26510.58333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 3, property.winner 0","False, 1571.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 8483.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 6, property.winner 0","False, 2987.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 2, property.winner 0","False, 31579.166666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 3, property.winner 0","False, 1305.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 8498.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 6, property.winner 0","False, 3395.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 2, property.winner 0","False, 30459.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 3, property.winner 0","False, 1524.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 8561.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 6, property.winner 0","False, 3289.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 2, property.winner 0","False, 36146.66666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 3, property.winner 0","False, 1464.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 8499.166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 6, property.winner 0","False, 3667.6666666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 0","True, 7014.583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 1","True, 7174.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 2","False, 34963.333333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 3","False, 36701.41666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 4","False, 33539.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 0","True, 113.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 1","True, 117.58333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 2","False, 1460.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 3","False, 1456.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 4","False, 1558.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","False, 8380.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 0","True, 788.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 1","True, 812.5833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 2","False, 3810.0833333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 3","False, 3711.5833333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 4","False, 3471.083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 81, property.product 5, property.winner 0","False, 8214.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 82, property.product 5, property.winner 0","False, 8497.666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 83, property.product 5, property.winner 0","False, 8228.916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 84, property.product 5, property.winner 0","False, 8498.666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 85, property.product 5, property.winner 0","False, 8122.416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 86, property.product 5, property.winner 0","False, 8572.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 87, property.product 5, property.winner 0","False, 8308.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 88, property.product 5, property.winner 0","False, 8415.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 89, property.product 5, property.winner 0","False, 8359.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 0","True, 80.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 1","True, 1391.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 2","False, 10032.333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 3","False, 9084.666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 1, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 4","True, 79.58333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 1, property.winner 0","False, 14748.166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 2, property.winner 0","False, 33163.833333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 4, property.winner 0","False, 922.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 1540.2916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 1, property.winner 0","False, 10433.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 2, property.winner 0","False, 23042.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 4, property.winner 0","False, 811.0833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","False, 1051.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 1, property.winner 0","False, 11982.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 2, property.winner 0","False, 26609.291666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 4, property.winner 0","False, 875.6666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 6, property.winner 0","False, 1100.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 1, property.winner 0","False, 11697.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 2, property.winner 0","False, 25565.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 4, property.winner 0","False, 836.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 6, property.winner 0","False, 1090.5416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 1, property.winner 0","False, 12834.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 2, property.winner 0","False, 27743.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 4, property.winner 0","False, 888.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 6, property.winner 0","False, 1104.9583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 1, property.winner 0","False, 9322.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 2, property.winner 0","False, 20705.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 4, property.winner 0","False, 666.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 6, property.winner 0","False, 1060.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 1, property.winner 0","False, 11026.916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 2, property.winner 0","False, 24777.45833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 4, property.winner 0","False, 757.4166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 6, property.winner 0","False, 1110.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 1, property.winner 0","False, 10886.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 2, property.winner 0","False, 23904.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 4, property.winner 0","False, 726.5833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 6, property.winner 0","False, 1149.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 1, property.winner 0","False, 12782.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 2, property.winner 0","False, 28080.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 4, property.winner 0","False, 820.4166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 6, property.winner 0","False, 1332.7083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 1, property.winner 0","False, 8944.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 2, property.winner 0","False, 18005.583333333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 4, property.winner 0","False, 681.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 6, property.winner 0","False, 938.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 1, property.winner 0","False, 10370.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 2, property.winner 0","False, 21278.33333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 405.7083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 4, property.winner 0","False, 766.0833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 6, property.winner 0","False, 981.9166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 0","False, 9982.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 2, property.winner 0","False, 20737.041666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","False, 436.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 0","True, 376.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 1","False, 809.0833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 2","True, 425.3333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 3","False, 833.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 6, property.winner 0","False, 1035.4583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 1, property.winner 0","False, 11735.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 2, property.winner 0","False, 24188.041666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 3, property.winner 0","False, 415.2083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 6, property.winner 0","False, 1168.0416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 1, property.winner 0","False, 10504.333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 2, property.winner 0","False, 22835.33333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 3, property.winner 0","False, 419.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 6, property.winner 0","False, 1103.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 1, property.winner 0","False, 12757.416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 2, property.winner 0","False, 27327.041666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 3, property.winner 0","False, 379.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 6, property.winner 0","False, 1257.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 1, property.winner 0","False, 12222.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 2, property.winner 0","False, 25621.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 3, property.winner 0","False, 427.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 6, property.winner 0","False, 1195.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 1, property.winner 0","False, 14429.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 2, property.winner 0","False, 29918.33333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 3, property.winner 0","False, 391.2916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 6, property.winner 0","False, 1431.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 1, property.winner 0","False, 9703.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 2, property.winner 0","False, 19022.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 3, property.winner 0","False, 431.7083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 6, property.winner 0","False, 1012.7916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 1, property.winner 0","False, 11617.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 2, property.winner 0","False, 23229.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 3, property.winner 0","False, 391.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 6, property.winner 0","False, 1109.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 1, property.winner 0","False, 11085.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 2, property.winner 0","False, 22187.95833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 3, property.winner 0","False, 424.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 6, property.winner 0","False, 1056.2083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 1, property.winner 0","False, 13463.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 2, property.winner 0","False, 26623.916666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 3, property.winner 0","False, 396.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 6, property.winner 0","False, 1240.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 1, property.winner 0","False, 10028.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 0","True, 5081.083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 1","True, 5542.708333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 2","False, 26016.58333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 3","False, 27359.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 0","True, 87.70833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 1","True, 89.66666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 2","False, 426.7916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 3","False, 423.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 0","True, 303.5416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 1","True, 309.7916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 2","False, 1233.7083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 3","False, 1262.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 81, property.product 1, property.winner 0","False, 12340.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 82, property.product 1, property.winner 0","False, 12061.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 83, property.product 1, property.winner 0","False, 13873.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 84, property.product 1, property.winner 0","False, 9268.416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 85, property.product 1, property.winner 0","False, 11154.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 86, property.product 1, property.winner 0","False, 10856.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 87, property.product 1, property.winner 0","False, 12635.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 88, property.product 1, property.winner 0","False, 11153.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 89, property.product 1, property.winner 0","False, 12801.333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 0","True, 230.83333333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 1","True, 5558.583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 2","True, 243.66666666666663"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 3","False, 14637.833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 1, property.winner 0","False, 22291.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 2, property.winner 0","False, 44130.520833333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 1197.2083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 3525.9791666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","False, 17613.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 0","False, 31169.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","False, 1132.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","False, 2588.6041666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 1, property.winner 0","False, 18322.20833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 2, property.winner 0","False, 34348.791666666664"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 4, property.winner 0","False, 1173.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 6, property.winner 0","False, 2594.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 1, property.winner 0","False, 18136.95833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 2, property.winner 0","False, 33680.854166666664"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 4, property.winner 0","False, 1216.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 6, property.winner 0","False, 2680.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 1, property.winner 0","False, 18951.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 2, property.winner 0","False, 35216.104166666664"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 4, property.winner 0","False, 1187.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 6, property.winner 0","False, 2597.1875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 1, property.winner 0","False, 15883.333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 2, property.winner 0","False, 29650.39583333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 4, property.winner 0","False, 1022.7083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 6, property.winner 0","False, 2532.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 1, property.winner 0","False, 17781.958333333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 2, property.winner 0","False, 34141.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 4, property.winner 0","False, 1085.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 6, property.winner 0","False, 2731.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 1, property.winner 0","False, 17875.791666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 2, property.winner 0","False, 33591.520833333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 4, property.winner 0","False, 1085.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 6, property.winner 0","False, 2796.0625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 1, property.winner 0","False, 19775.45833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 2, property.winner 0","False, 38630.145833333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 4, property.winner 0","False, 1133.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 6, property.winner 0","False, 3128.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 1, property.winner 0","False, 15346.416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 2, property.winner 0","False, 25870.541666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 4, property.winner 0","False, 1033.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 6, property.winner 0","False, 2300.708333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 1, property.winner 0","False, 16949.708333333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 2, property.winner 0","False, 29665.39583333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 1764.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 4, property.winner 0","False, 1096.9583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 7337.4375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 6, property.winner 0","False, 2414.1875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 0","False, 16981.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 2, property.winner 0","False, 29255.02083333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","False, 1713.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 0","True, 485.3333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 1","False, 1176.7083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 2","True, 534.2916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 3","False, 1168.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 4","False, 1150.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 7495.791666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 6, property.winner 0","False, 2435.1041666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 1, property.winner 0","False, 18651.791666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 2, property.winner 0","False, 33973.8125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 3, property.winner 0","False, 1641.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 7383.666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 6, property.winner 0","False, 2783.395833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 1, property.winner 0","False, 17699.541666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 2, property.winner 0","False, 31886.77083333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 3, property.winner 0","False, 1622.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 7410.229166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 6, property.winner 0","False, 2704.583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 1, property.winner 0","False, 19987.166666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 2, property.winner 0","False, 37423.29166666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 3, property.winner 0","False, 1421.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 7266.520833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 6, property.winner 0","False, 3036.7291666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 1, property.winner 0","False, 19541.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 2, property.winner 0","False, 35631.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 3, property.winner 0","False, 1626.1458333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 7416.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 6, property.winner 0","False, 2920.2291666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 1, property.winner 0","False, 21973.08333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 2, property.winner 0","False, 40673.10416666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 3, property.winner 0","False, 1561.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 7293.270833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 6, property.winner 0","False, 3277.3541666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 1, property.winner 0","False, 16215.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 2, property.winner 0","False, 27507.52083333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 3, property.winner 0","False, 1708.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 7321.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 6, property.winner 0","False, 2416.270833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 1, property.winner 0","False, 18192.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 2, property.winner 0","False, 32427.916666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 3, property.winner 0","False, 1510.0416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 7256.791666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 6, property.winner 0","False, 2638.9166666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 1, property.winner 0","False, 18093.916666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 2, property.winner 0","False, 31308.3125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 3, property.winner 0","False, 1745.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 7469.583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 6, property.winner 0","False, 2579.6875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 1, property.winner 0","False, 20010.83333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 2, property.winner 0","False, 36975.97916666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 3, property.winner 0","False, 1651.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 7374.6875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 6, property.winner 0","False, 2968.833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 1, property.winner 0","False, 17135.541666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 0","True, 7150.854166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 1","True, 7453.5625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 2","False, 36147.145833333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 3","False, 37931.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 4","False, 34097.291666666664"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 0","True, 131.85416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 1","True, 127.0625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 2","False, 1650.3333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 3","False, 1520.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 4","False, 1726.7083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","False, 7354.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 0","True, 653.2291666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 1","True, 683.6041666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 2","False, 2982.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 3","False, 3077.645833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 4","False, 2810.6875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 81, property.product 1, property.winner 0","False, 19010.791666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 81, property.product 5, property.winner 0","False, 7129.708333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 82, property.product 1, property.winner 0","False, 19555.541666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 82, property.product 5, property.winner 0","False, 7332.958333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 83, property.product 1, property.winner 0","False, 21271.166666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 83, property.product 5, property.winner 0","False, 7117.4375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 84, property.product 1, property.winner 0","False, 15953.166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 84, property.product 5, property.winner 0","False, 7283.270833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 85, property.product 1, property.winner 0","False, 17470.541666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 85, property.product 5, property.winner 0","False, 7043.9375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 86, property.product 1, property.winner 0","False, 17668.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 86, property.product 5, property.winner 0","False, 7397.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 87, property.product 1, property.winner 0","False, 19462.20833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 87, property.product 5, property.winner 0","False, 7221.854166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 88, property.product 1, property.winner 0","False, 18201.541666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 88, property.product 5, property.winner 0","False, 7256.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 89, property.product 1, property.winner 0","False, 19728.166666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 89, property.product 5, property.winner 0","False, 7156.583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 0","True, 312.1666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 1","True, 8841.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 2","True, 333.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 3","False, 23464.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 4","False, 20901.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 0","True, 82.02083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 1","True, 1217.5208333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 2","False, 8721.145833333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 3","False, 7825.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 2, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 4","True, 78.79166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 1, property.winner 0","False, 16739.041666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 2, property.winner 0","False, 39670.04166666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 4, property.winner 0","False, 842.9583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 59, property.product 6, property.winner 0","False, 1327.2083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 1, property.winner 0","False, 11861.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 2, property.winner 0","False, 27674.08333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 4, property.winner 0","False, 773.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 60, property.product 6, property.winner 0","False, 903.7083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 1, property.winner 0","False, 13457.708333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 2, property.winner 0","False, 31959.45833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 4, property.winner 0","False, 803.0833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 61, property.product 6, property.winner 0","False, 943.5833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 1, property.winner 0","False, 13017.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 2, property.winner 0","False, 30492.95833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 4, property.winner 0","False, 780.4166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 62, property.product 6, property.winner 0","False, 930.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 1, property.winner 0","False, 14320.583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 2, property.winner 0","False, 32823.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 4, property.winner 0","False, 829.9583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 63, property.product 6, property.winner 0","False, 972.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 1, property.winner 0","False, 10384.083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 2, property.winner 0","False, 24532.541666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 4, property.winner 0","False, 635.2916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 64, property.product 6, property.winner 0","False, 908.9583333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 1, property.winner 0","False, 12516.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 2, property.winner 0","False, 29321.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 4, property.winner 0","False, 690.7083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 65, property.product 6, property.winner 0","False, 965.8333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 1, property.winner 0","False, 12204.791666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 2, property.winner 0","False, 28473.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 4, property.winner 0","False, 692.3333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 66, property.product 6, property.winner 0","False, 999.7916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 1, property.winner 0","False, 14441.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 2, property.winner 0","False, 33097.208333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 4, property.winner 0","False, 743.0416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 67, property.product 6, property.winner 0","False, 1141.0833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 1, property.winner 0","False, 10022.333333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 2, property.winner 0","False, 21373.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 4, property.winner 0","False, 640.0416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 68, property.product 6, property.winner 0","False, 835.2083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 1, property.winner 0","False, 11647.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 2, property.winner 0","False, 25577.666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 3, property.winner 0","False, 457.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 4, property.winner 0","False, 717.5"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 69, property.product 6, property.winner 0","False, 864.1666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 1, property.winner 0","False, 11435.291666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 2, property.winner 0","False, 24643.916666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 3, property.winner 0","False, 447.2083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 0","True, 357.7083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 1","False, 785.0833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 2","True, 394.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 4, property.winner 3","False, 775.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 70, property.product 6, property.winner 0","False, 893.6666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 1, property.winner 0","False, 13227.208333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 2, property.winner 0","False, 29357.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 3, property.winner 0","False, 420.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 71, property.product 6, property.winner 0","False, 1013.6666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 1, property.winner 0","False, 11892.416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 2, property.winner 0","False, 27071.33333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 3, property.winner 0","False, 430.0416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 72, property.product 6, property.winner 0","False, 968.0416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 1, property.winner 0","False, 14420.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 2, property.winner 0","False, 32429.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 3, property.winner 0","False, 410.2083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 73, property.product 6, property.winner 0","False, 1094.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 1, property.winner 0","False, 13831.833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 2, property.winner 0","False, 30254.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 3, property.winner 0","False, 446.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 74, property.product 6, property.winner 0","False, 1022.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 1, property.winner 0","False, 16537.958333333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 2, property.winner 0","False, 35396.958333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 3, property.winner 0","False, 412.9166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 75, property.product 6, property.winner 0","False, 1230.0416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 1, property.winner 0","False, 10863.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 2, property.winner 0","False, 22905.791666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 3, property.winner 0","False, 434.5833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 76, property.product 6, property.winner 0","False, 873.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 1, property.winner 0","False, 13256.291666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 2, property.winner 0","False, 27642.20833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 3, property.winner 0","False, 409.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 77, property.product 6, property.winner 0","False, 957.4166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 1, property.winner 0","False, 12714.458333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 2, property.winner 0","False, 26386.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 3, property.winner 0","False, 452.5416666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 78, property.product 6, property.winner 0","False, 955.0416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 1, property.winner 0","False, 14992.708333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 2, property.winner 0","False, 31569.70833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 3, property.winner 0","False, 425.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 79, property.product 6, property.winner 0","False, 1097.9583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 1, property.winner 0","False, 11213.208333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 0","True, 6111.833333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 1","True, 6569.083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 2","False, 30916.541666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 2, property.winner 3","False, 32575.20833333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 0","True, 91.54166666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 1","True, 84.83333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 2","False, 442.75"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 3, property.winner 3","False, 447.4166666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 0","True, 272.4583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 1","True, 271.6666666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 2","False, 1069.9583333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 80, property.product 6, property.winner 3","False, 1118.7916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 81, property.product 1, property.winner 0","False, 13723.625"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 82, property.product 1, property.winner 0","False, 13424.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 83, property.product 1, property.winner 0","False, 15716.833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 84, property.product 1, property.winner 0","False, 10541.541666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 85, property.product 1, property.winner 0","False, 12536.208333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 86, property.product 1, property.winner 0","False, 12223.166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 87, property.product 1, property.winner 0","False, 14295.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 88, property.product 1, property.winner 0","False, 12440.375"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 89, property.product 1, property.winner 0","False, 14557.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 0","True, 249.66666666666663"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 1","True, 6126.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 2","True, 272.2916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 0, property.price 90, property.product 1, property.winner 3","False, 16347.208333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 1, property.winner 0","False, 19136.63333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 2, property.winner 0","False, 41602.16666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 4, property.winner 0","False, 1290.4833333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 59, property.product 6, property.winner 0","False, 4739.6"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 1, property.winner 0","False, 15103.558333333332"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 2, property.winner 0","False, 29371.266666666663"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 4, property.winner 0","False, 1222.025"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 60, property.product 6, property.winner 0","False, 3536.1833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 1, property.winner 0","False, 15871.1"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 2, property.winner 0","False, 32508.366666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 4, property.winner 0","False, 1259.8916666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 61, property.product 6, property.winner 0","False, 3492.425"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 1, property.winner 0","False, 15812.316666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 2, property.winner 0","False, 32002.175"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 4, property.winner 0","False, 1244.6916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 62, property.product 6, property.winner 0","False, 3671.9583333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 1, property.winner 0","False, 16262.966666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 2, property.winner 0","False, 33387.808333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 4, property.winner 0","False, 1237.4916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 63, property.product 6, property.winner 0","False, 3537.383333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 1, property.winner 0","False, 13685.866666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 2, property.winner 0","False, 27994.025"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 4, property.winner 0","False, 1070.5333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 64, property.product 6, property.winner 0","False, 3491.35"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 1, property.winner 0","False, 15329.483333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 2, property.winner 0","False, 32508.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 4, property.winner 0","False, 1133.9"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 65, property.product 6, property.winner 0","False, 3687.508333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 1, property.winner 0","False, 15472.741666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 2, property.winner 0","False, 31910.641666666663"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 4, property.winner 0","False, 1118.9"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 66, property.product 6, property.winner 0","False, 3769.2"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 1, property.winner 0","False, 17152.616666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 2, property.winner 0","False, 36755.1"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 4, property.winner 0","False, 1193.6833333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 67, property.product 6, property.winner 0","False, 4251.225"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 1, property.winner 0","False, 13173.783333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 2, property.winner 0","False, 24726.775"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 4, property.winner 0","False, 1087.6"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 68, property.product 6, property.winner 0","False, 3200.975"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 1, property.winner 0","False, 14430.041666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 2, property.winner 0","False, 28220.525"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 3, property.winner 0","False, 1715.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 4, property.winner 0","False, 1159.3166666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 5, property.winner 0","False, 7877.808333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 69, property.product 6, property.winner 0","False, 3274.65"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 1, property.winner 0","False, 14385.091666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 2, property.winner 0","False, 27941.7"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 3, property.winner 0","False, 1696.575"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 0","True, 527.1666666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 1","False, 1237.525"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 2","True, 583.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 3","False, 1266.425"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 4, property.winner 4","False, 1243.8333333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 5, property.winner 0","False, 8058.691666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 70, property.product 6, property.winner 0","False, 3312.725"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 1, property.winner 0","False, 15919.775"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 2, property.winner 0","False, 32261.175"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 3, property.winner 0","False, 1663.95"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 5, property.winner 0","False, 7922.225"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 71, property.product 6, property.winner 0","False, 3734.4"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 1, property.winner 0","False, 15199.916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 2, property.winner 0","False, 30267.55"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 3, property.winner 0","False, 1622.3916666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 5, property.winner 0","False, 7953.233333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 72, property.product 6, property.winner 0","False, 3604.4416666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 1, property.winner 0","False, 17220.925"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 2, property.winner 0","False, 35555.808333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 3, property.winner 0","False, 1445.5083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 5, property.winner 0","False, 7801.858333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 73, property.product 6, property.winner 0","False, 4094.0"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 1, property.winner 0","False, 16957.416666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 2, property.winner 0","False, 33842.833333333336"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 3, property.winner 0","False, 1632.35"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 5, property.winner 0","False, 8071.125"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 74, property.product 6, property.winner 0","False, 4024.116666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 1, property.winner 0","False, 18952.533333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 2, property.winner 0","False, 38762.84166666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 3, property.winner 0","False, 1540.6"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 5, property.winner 0","False, 7875.508333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 75, property.product 6, property.winner 0","False, 4453.783333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 1, property.winner 0","False, 14045.366666666669"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 2, property.winner 0","False, 26250.525"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 3, property.winner 0","False, 1667.4"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 5, property.winner 0","False, 7937.208333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 76, property.product 6, property.winner 0","False, 3242.741666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 1, property.winner 0","False, 15737.091666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 2, property.winner 0","False, 30761.566666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 3, property.winner 0","False, 1461.9"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 5, property.winner 0","False, 7835.65"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 77, property.product 6, property.winner 0","False, 3556.116666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 1, property.winner 0","False, 15636.925"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 2, property.winner 0","False, 29784.766666666663"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 3, property.winner 0","False, 1702.175"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 5, property.winner 0","False, 8030.866666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 78, property.product 6, property.winner 0","False, 3555.6666666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 1, property.winner 0","False, 17386.633333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 2, property.winner 0","False, 34993.51666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 3, property.winner 0","False, 1619.9916666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 5, property.winner 0","False, 7956.016666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 79, property.product 6, property.winner 0","False, 4051.891666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 1, property.winner 0","False, 14721.075"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 0","True, 6826.716666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 1","True, 7162.425"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 2","False, 34314.566666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 3","False, 36101.85"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 2, property.winner 4","False, 32349.941666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 0","True, 125.51666666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 1","True, 123.25"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 2","False, 1601.3083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 3","False, 1525.9083333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 3, property.winner 4","False, 1725.8083333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 5, property.winner 0","False, 7918.483333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 0","True, 879.675"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 1","True, 914.875"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 2","False, 3993.55"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 3","False, 4093.283333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 80, property.product 6, property.winner 4","False, 3755.758333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 81, property.product 1, property.winner 0","False, 16501.116666666665"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 81, property.product 5, property.winner 0","False, 7633.041666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 82, property.product 1, property.winner 0","False, 16757.591666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 82, property.product 5, property.winner 0","False, 7966.075"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 83, property.product 1, property.winner 0","False, 18241.95"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 83, property.product 5, property.winner 0","False, 7776.916666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 84, property.product 1, property.winner 0","False, 13713.033333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 84, property.product 5, property.winner 0","False, 7921.883333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 85, property.product 1, property.winner 0","False, 15027.566666666668"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 85, property.product 5, property.winner 0","False, 7660.591666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 86, property.product 1, property.winner 0","False, 15241.533333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 86, property.product 5, property.winner 0","False, 7981.433333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 87, property.product 1, property.winner 0","False, 16924.258333333335"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 87, property.product 5, property.winner 0","False, 7745.391666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 88, property.product 1, property.winner 0","False, 15732.175"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 88, property.product 5, property.winner 0","False, 7837.233333333334"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 89, property.product 1, property.winner 0","False, 16876.158333333333"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 89, property.product 5, property.winner 0","False, 7748.016666666666"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 0","True, 279.65"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 1","True, 7642.65"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 2","True, 290.65"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 3","False, 20243.15"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 1, property.winner 4","False, 17944.716666666667"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 0","True, 82.425"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 1","True, 1316.9833333333331"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 2","False, 9365.45"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 3","False, 8474.025"
+"Perform classification to predict 'verification.result' (options: False, True). Perform regression to predict 'verification.time' (range 77.91666666666667, 44130.520833333336). Use the given features.","process.b1.capacity 2, process.b2.capacity 3, process.b3.capacity 2, process.b4.capacity 1, property.price 90, property.product 5, property.winner 4","True, 82.00833333333334"