classification/spambase/rules.json

{
    "rules": [
        {
            "rule": [
                [
                    48,
                    0.183,
                    true
                ],
                [
                    18,
                    0.385,
                    true
                ],
                [
                    26,
                    0.005,
                    false
                ]
            ],
            "label": 0,
            "accuracy": 100.0,
            "support": 17
        },
        {
            "rule": [
                [
                    36,
                    0.065,
                    false
                ],
                [
                    2,
                    0.27,
                    false
                ],
                [
                    53,
                    0.153,
                    false
                ]
            ],
            "label": 1,
            "accuracy": 100.0,
            "support": 1
        },
        {
            "rule": [
                [
                    51,
                    0.186,
                    true
                ],
                [
                    9,
                    0.025,
                    true
                ],
                [
                    24,
                    0.13,
                    false
                ]
            ],
            "label": 0,
            "accuracy": 98.48,
            "support": 47
        },
        {
            "rule": [
                [
                    32,
                    0.235,
                    true
                ],
                [
                    32,
                    0.015,
                    false
                ],
                [
                    2,
                    0.395,
                    true
                ]
            ],
            "label": 1,
            "accuracy": 100.0,
            "support": 3
        },
        {
            "rule": [
                [
                    13,
                    0.025,
                    true
                ],
                [
                    11,
                    1.99,
                    false
                ],
                [
                    10,
                    0.455,
                    false
                ]
            ],
            "label": 0,
            "accuracy": 80.0,
            "support": 3
        },
        {
            "rule": [
                [
                    8,
                    0.085,
                    true
                ],
                [
                    51,
                    0.088,
                    true
                ],
                [
                    55,
                    23.0,
                    false
                ]
            ],
            "label": 1,
            "accuracy": 53.45,
            "support": 40
        },
        {
            "rule": [
                [
                    1,
                    0.09,
                    false
                ],
                [
                    29,
                    0.085,
                    true
                ],
                [
                    2,
                    0.195,
                    true
                ]
            ],
            "label": 1,
            "accuracy": 53.33,
            "support": 18
        },
        {
            "rule": [
                [
                    55,
                    29.5,
                    true
                ],
                [
                    51,
                    0.142,
                    true
                ],
                [
                    18,
                    1.81,
                    false
                ]
            ],
            "label": 0,
            "accuracy": 55.38,
            "support": 41
        },
        {
            "rule": [
                [
                    6,
                    0.01,
                    false
                ],
                [
                    51,
                    0.049,
                    true
                ],
                [
                    38,
                    0.12,
                    true
                ]
            ],
            "label": 1,
            "accuracy": 82.35,
            "support": 12
        },
        {
            "rule": [
                [
                    17,
                    0.055,
                    false
                ],
                [
                    55,
                    15.5,
                    true
                ],
                [
                    6,
                    0.025,
                    false
                ]
            ],
            "label": 1,
            "accuracy": 77.78,
            "support": 7
        },
        {
            "rule": [
                [
                    23,
                    0.03,
                    false
                ],
                [
                    14,
                    0.015,
                    true
                ],
                [
                    29,
                    0.065,
                    true
                ]
            ],
            "label": 1,
            "accuracy": 88.14,
            "support": 39
        },
        {
            "rule": [
                [
                    20,
                    0.915,
                    true
                ],
                [
                    53,
                    0.01,
                    true
                ],
                [
                    22,
                    0.145,
                    true
                ]
            ],
            "label": 0,
            "accuracy": 81.22,
            "support": 145
        },
        {
            "rule": [
                [
                    55,
                    18.5,
                    false
                ],
                [
                    18,
                    1.06,
                    false
                ],
                [
                    8,
                    0.04,
                    false
                ]
            ],
            "label": 1,
            "accuracy": 100.0,
            "support": 26
        },
        {
            "rule": [
                [
                    8,
                    0.025,
                    true
                ],
                [
                    42,
                    0.165,
                    true
                ],
                [
                    19,
                    0.265,
                    true
                ]
            ],
            "label": 0,
            "accuracy": 56.66,
            "support": 216
        },
        {
            "rule": [
                [
                    30,
                    0.075,
                    true
                ],
                [
                    15,
                    0.065,
                    false
                ],
                [
                    15,
                    0.35,
                    true
                ]
            ],
            "label": 1,
            "accuracy": 83.78,
            "support": 21
        }
    ],
    "rules_description": [
        "if (char_freq_%3B <= 0.183) and (word_freq_you <= 0.385) and (word_freq_george > 0.005) then class: 0 (proba: 100.0%) | based on 17 samples",
        "if (word_freq_1999 > 0.065) and (word_freq_all > 0.27) and (char_freq_%23 > 0.153) then class: 1 (proba: 100.0%) | based on 1 samples",
        "if (char_freq_%21 <= 0.186) and (word_freq_mail <= 0.025) and (word_freq_hp > 0.13) then class: 0 (proba: 98.48%) | based on 47 samples",
        "if (word_freq_data <= 0.235) and (word_freq_data > 0.015) and (word_freq_all <= 0.395) then class: 1 (proba: 100.0%) | based on 3 samples",
        "if (word_freq_report <= 0.025) and (word_freq_will > 1.99) and (word_freq_receive > 0.455) then class: 0 (proba: 80.0%) | based on 3 samples",
        "if (word_freq_order <= 0.085) and (char_freq_%21 <= 0.088) and (capital_run_length_longest > 23.0) then class: 1 (proba: 53.45%) | based on 40 samples",
        "if (word_freq_address > 0.09) and (word_freq_labs <= 0.085) and (word_freq_all <= 0.195) then class: 1 (proba: 53.33%) | based on 18 samples",
        "if (capital_run_length_longest <= 29.5) and (char_freq_%21 <= 0.142) and (word_freq_you > 1.81) then class: 0 (proba: 55.38%) | based on 41 samples",
        "if (word_freq_remove > 0.01) and (char_freq_%21 <= 0.049) and (word_freq_pm <= 0.12) then class: 1 (proba: 82.35%) | based on 12 samples",
        "if (word_freq_email > 0.055) and (capital_run_length_longest <= 15.5) and (word_freq_remove > 0.025) then class: 1 (proba: 77.78%) | based on 7 samples",
        "if (word_freq_money > 0.03) and (word_freq_addresses <= 0.015) and (word_freq_labs <= 0.065) then class: 1 (proba: 88.14%) | based on 39 samples",
        "if (word_freq_your <= 0.915) and (char_freq_%23 <= 0.01) and (word_freq_000 <= 0.145) then class: 0 (proba: 81.22%) | based on 145 samples",
        "if (capital_run_length_longest > 18.5) and (word_freq_you > 1.06) and (word_freq_order > 0.04) then class: 1 (proba: 100.0%) | based on 26 samples",
        "if (word_freq_order <= 0.025) and (word_freq_original <= 0.165) and (word_freq_credit <= 0.265) then class: 0 (proba: 56.66%) | based on 216 samples",
        "if (word_freq_telnet <= 0.075) and (word_freq_free > 0.065) and (word_freq_free <= 0.35) then class: 1 (proba: 83.78%) | based on 21 samples"
    ],
    "config": {
        "n_trees": 15,
        "max_depth": 3,
        "max_features": 2,
        "used_data": 0.1
    }
}