Commit From AutoTrain

.gitattributes

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README.md

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+---
+tags:
+- autotrain
+- tabular
+- classification
+- tabular-classification
+datasets:
+- willadamskeane/autotrain-data-over-under
+co2_eq_emissions:
+  emissions: 0.04557412368301007
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Binary Classification
+- Model ID: 96986146760
+- CO2 Emissions (in grams): 0.0456
+
+## Validation Metrics
+
+- Loss: 0.461
+- Accuracy: 1.000
+- Precision: 1.000
+- Recall: 1.000
+- AUC: 1.000
+- F1: 1.000
+
+## Usage
+
+```python
+import json
+import joblib
+import pandas as pd
+
+model = joblib.load('model.joblib')
+config = json.load(open('config.json'))
+
+features = config['features']
+
+# data = pd.read_csv("data.csv")
+data = data[features]
+data.columns = ["feat_" + str(col) for col in data.columns]
+
+predictions = model.predict(data)  # or model.predict_proba(data)
+
+```

config.json

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+{"features": ["1Q", "2Q", "3Q", "4Q", "OT1", "OT2", "OT3", "OT4", "OT5", "F", "MIN", "FG", "FGA", "3P", "3PA", "FT", "FTA", "OR", "DR", "TOT", "A", "PF", "ST", "TO", "BL", "PTS", "POSS", "PACE", "OEFF", "DEFF", "REST DAYS", "OPENING SPREAD", "OPENING TOTAL", "DATASET", "DATE", "TEAM", "VENUE", "STARTING LINEUPS - 1", "STARTING LINEUPS - 2", "STARTING LINEUPS - 3", "STARTING LINEUPS - 4", "STARTING LINEUPS - 5", "MAIN REF", "OTHER REF", "CREW", "OPENING ODDS"], "targets": ["target"], "model_type": "xgboost", "target_mapping": {"False": 0, "True": 1}}

model.joblib

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+size 144323