classification/bank-marketing/rules.json

{
    "rules": [
        {
            "rule": [
                [
                    15,
                    2.5,
                    false
                ],
                [
                    5,
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                    false
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                [
                    6,
                    0.5,
                    true
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            ],
            "label": 0,
            "accuracy": 100.0,
            "support": 1
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        {
            "rule": [
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                    15,
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                    false
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                    13,
                    313.0,
                    false
                ],
                [
                    11,
                    50.5,
                    true
                ]
            ],
            "label": 0,
            "accuracy": 100.0,
            "support": 2
        },
        {
            "rule": [
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                    11,
                    215.5,
                    true
                ],
                [
                    14,
                    0.5,
                    false
                ],
                [
                    15,
                    2.5,
                    false
                ]
            ],
            "label": 1,
            "accuracy": 84.98,
            "support": 171
        },
        {
            "rule": [
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                    8,
                    0.5,
                    true
                ],
                [
                    10,
                    2.5,
                    false
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                [
                    10,
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                    false
                ]
            ],
            "label": 0,
            "accuracy": 58.14,
            "support": 26
        },
        {
            "rule": [
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                    14,
                    0.5,
                    false
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                    11,
                    158.5,
                    false
                ],
                [
                    15,
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                    false
                ]
            ],
            "label": 1,
            "accuracy": 95.21,
            "support": 504
        },
        {
            "rule": [
                [
                    0,
                    60.5,
                    true
                ],
                [
                    15,
                    2.5,
                    false
                ],
                [
                    11,
                    119.5,
                    false
                ]
            ],
            "label": 1,
            "accuracy": 95.07,
            "support": 463
        },
        {
            "rule": [
                [
                    5,
                    103.5,
                    true
                ],
                [
                    14,
                    0.5,
                    false
                ],
                [
                    11,
                    199.5,
                    true
                ]
            ],
            "label": 0,
            "accuracy": 71.9,
            "support": 83
        },
        {
            "rule": [
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                    13,
                    9.0,
                    false
                ],
                [
                    11,
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                    true
                ],
                [
                    6,
                    0.5,
                    true
                ]
            ],
            "label": 0,
            "accuracy": 83.72,
            "support": 166
        },
        {
            "rule": [
                [
                    11,
                    208.5,
                    false
                ],
                [
                    14,
                    0.5,
                    false
                ],
                [
                    15,
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                    true
                ]
            ],
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            "accuracy": 74.56,
            "support": 539
        },
        {
            "rule": [
                [
                    8,
                    0.5,
                    true
                ],
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                    3,
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                    false
                ],
                [
                    10,
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                    false
                ]
            ],
            "label": 1,
            "accuracy": 77.78,
            "support": 7
        },
        {
            "rule": [
                [
                    0,
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                    false
                ],
                [
                    8,
                    0.5,
                    false
                ],
                [
                    8,
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                    false
                ]
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            "label": 1,
            "accuracy": 80.99,
            "support": 96
        },
        {
            "rule": [
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                    15,
                    2.5,
                    true
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                    11,
                    362.5,
                    false
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                [
                    0,
                    60.5,
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            ],
            "label": 1,
            "accuracy": 91.23,
            "support": 99
        },
        {
            "rule": [
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                    5,
                    930.5,
                    false
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                [
                    15,
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                    true
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                [
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            "accuracy": 59.69,
            "support": 1552
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        {
            "rule": [
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                    false
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            ],
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            "accuracy": 88.89,
            "support": 86
        },
        {
            "rule": [
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                    14,
                    0.5,
                    true
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                    11,
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                    true
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                [
                    0,
                    60.5,
                    false
                ]
            ],
            "label": 1,
            "accuracy": 76.88,
            "support": 111
        },
        {
            "rule": [
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                    13,
                    4.0,
                    true
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                    5,
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                    false
                ],
                [
                    11,
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                    false
                ]
            ],
            "label": 1,
            "accuracy": 80.3,
            "support": 1018
        },
        {
            "rule": [
                [
                    14,
                    0.5,
                    true
                ],
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                    5,
                    77.5,
                    false
                ],
                [
                    11,
                    322.5,
                    false
                ]
            ],
            "label": 1,
            "accuracy": 76.77,
            "support": 1400
        },
        {
            "rule": [
                [
                    15,
                    2.5,
                    true
                ],
                [
                    8,
                    0.5,
                    true
                ],
                [
                    5,
                    414.5,
                    true
                ]
            ],
            "label": 0,
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            "support": 629
        },
        {
            "rule": [
                [
                    15,
                    2.5,
                    true
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                    11,
                    365.5,
                    true
                ],
                [
                    10,
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                    true
                ]
            ],
            "label": 0,
            "accuracy": 81.56,
            "support": 2616
        },
        {
            "rule": [
                [
                    8,
                    0.5,
                    true
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                    true
                ],
                [
                    15,
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                    true
                ]
            ],
            "label": 0,
            "accuracy": 95.6,
            "support": 853
        }
    ],
    "rules_description": [
        "if (V16 > 2.5) and (V6 > 21726.0) and (V7 <= 0.5) then class: 1 (proba: 100.0%) | based on 1 samples",
        "if (V16 > 2.5) and (V14 > 313.0) and (V12 <= 50.5) then class: 1 (proba: 100.0%) | based on 2 samples",
        "if (V12 <= 215.5) and (V15 > 0.5) and (V16 > 2.5) then class: 2 (proba: 84.98%) | based on 171 samples",
        "if (V9 <= 0.5) and (V11 > 2.5) and (V11 > 4.5) then class: 1 (proba: 58.14%) | based on 26 samples",
        "if (V15 > 0.5) and (V12 > 158.5) and (V16 > 2.5) then class: 2 (proba: 95.21%) | based on 504 samples",
        "if (V1 <= 60.5) and (V16 > 2.5) and (V12 > 119.5) then class: 2 (proba: 95.07%) | based on 463 samples",
        "if (V6 <= 103.5) and (V15 > 0.5) and (V12 <= 199.5) then class: 1 (proba: 71.9%) | based on 83 samples",
        "if (V14 > 9.0) and (V12 <= 159.5) and (V7 <= 0.5) then class: 1 (proba: 83.72%) | based on 166 samples",
        "if (V12 > 208.5) and (V15 > 0.5) and (V16 <= 2.5) then class: 2 (proba: 74.56%) | based on 539 samples",
        "if (V9 <= 0.5) and (V4 > 1.5) and (V11 > 3.0) then class: 2 (proba: 77.78%) | based on 7 samples",
        "if (V1 > 60.5) and (V9 > 0.5) and (V9 > 1.5) then class: 2 (proba: 80.99%) | based on 96 samples",
        "if (V16 <= 2.5) and (V12 > 362.5) and (V1 > 60.5) then class: 2 (proba: 91.23%) | based on 99 samples",
        "if (V6 > 930.5) and (V16 <= 2.5) and (V9 > 0.5) then class: 2 (proba: 59.69%) | based on 1,552 samples",
        "if (V8 > 0.5) and (V12 > 526.5) and (V3 > 0.5) then class: 2 (proba: 88.89%) | based on 86 samples",
        "if (V15 <= 0.5) and (V12 <= 360.5) and (V1 > 60.5) then class: 2 (proba: 76.88%) | based on 111 samples",
        "if (V14 <= 4.0) and (V6 > 236.5) and (V12 > 393.5) then class: 2 (proba: 80.3%) | based on 1,018 samples",
        "if (V15 <= 0.5) and (V6 > 77.5) and (V12 > 322.5) then class: 2 (proba: 76.77%) | based on 1,400 samples",
        "if (V16 <= 2.5) and (V9 <= 0.5) and (V6 <= 414.5) then class: 1 (proba: 80.94%) | based on 629 samples",
        "if (V16 <= 2.5) and (V12 <= 365.5) and (V11 <= 7.5) then class: 1 (proba: 81.56%) | based on 2,616 samples",
        "if (V9 <= 0.5) and (V12 <= 472.5) and (V16 <= 0.5) then class: 1 (proba: 95.6%) | based on 853 samples"
    ],
    "config": {
        "n_trees": 20,
        "max_depth": 3,
        "max_features": 4,
        "used_data": 0.2
    }
}