OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.9244, kappa: 0.8465, kb_relative_information_score: 9359.4061, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9257, predictive_accuracy: 0.9247, prior_entropy: 0.9906, recall: 0.9247, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.94, kappa: 0.8783, kb_relative_information_score: 9705.8538, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9402, predictive_accuracy: 0.9401, prior_entropy: 0.9906, recall: 0.9401, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9732, kappa: 0.9457, kb_relative_information_score: 10451.7354, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.9906, recall: 0.9732, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.3294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.8969, kappa: 0.7944, kb_relative_information_score: 8725.6105, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9094, predictive_accuracy: 0.8966, prior_entropy: 0.9906, recall: 0.8966, relative_absolute_error: 0.2095, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.939, kappa: 0.8763, kb_relative_information_score: 9683.4366, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9392, predictive_accuracy: 0.9391, prior_entropy: 0.9906, recall: 0.9391, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.4967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9323, kappa: 0.8637, kb_relative_information_score: 9524.4782, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.936, predictive_accuracy: 0.9321, prior_entropy: 0.9906, recall: 0.9321, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9641, kappa: 0.9272, kb_relative_information_score: 10245.9047, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.9906, recall: 0.9641, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.3815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9485, kappa: 0.8956, kb_relative_information_score: 9897.419, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9488, predictive_accuracy: 0.9486, prior_entropy: 0.9906, recall: 0.9486, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9384, kappa: 0.8749, kb_relative_information_score: 9669.1711, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9387, predictive_accuracy: 0.9385, prior_entropy: 0.9906, recall: 0.9385, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.248, root_relative_squared_error: 0.4993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.9495, kappa: 0.8975, kb_relative_information_score: 9917.7983, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9496, predictive_accuracy: 0.9495, prior_entropy: 0.9906, recall: 0.9495, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9687, kappa: 0.9365, kb_relative_information_score: 10349.839, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9906, recall: 0.9687, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.956, kappa: 0.9107, kb_relative_information_score: 10064.5291, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 0.9906, recall: 0.956, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.9214, kappa: 0.8406, kb_relative_information_score: 9288.0786, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9216, predictive_accuracy: 0.9216, prior_entropy: 0.9906, recall: 0.9216, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.28, root_relative_squared_error: 0.5638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9654, kappa: 0.9299, kb_relative_information_score: 10276.4736, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.9906, recall: 0.9654, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9538, kappa: 0.9063, kb_relative_information_score: 10015.6189, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.954, predictive_accuracy: 0.9539, prior_entropy: 0.9906, recall: 0.9539, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8881, kappa: 0.7774, kb_relative_information_score: 8527.9315, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9034, predictive_accuracy: 0.8878, prior_entropy: 0.9906, recall: 0.8878, relative_absolute_error: 0.2273, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9683, kappa: 0.9358, kb_relative_information_score: 10341.6873, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 10121.5911, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 0.9906, recall: 0.9586, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9743, kappa: 0.9479, kb_relative_information_score: 10476.1906, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.9906, recall: 0.9743, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.966, kappa: 0.9311, kb_relative_information_score: 10288.7012, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.966, predictive_accuracy: 0.966, prior_entropy: 0.9906, recall: 0.966, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.93, kappa: 0.858, kb_relative_information_score: 9481.6817, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9303, predictive_accuracy: 0.9302, prior_entropy: 0.9906, recall: 0.9302, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.961, kappa: 0.9209, kb_relative_information_score: 10176.6152, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.961, predictive_accuracy: 0.961, prior_entropy: 0.9906, recall: 0.961, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9636, kappa: 0.9262, kb_relative_information_score: 10235.7151, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 0.9906, recall: 0.9636, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9256, kappa: 0.8489, kb_relative_information_score: 9387.9371, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9273, predictive_accuracy: 0.926, prior_entropy: 0.9906, recall: 0.926, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.9328, kappa: 0.8637, kb_relative_information_score: 9544.8575, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9332, predictive_accuracy: 0.933, prior_entropy: 0.9906, recall: 0.933, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.5554, kappa: 0.1955, kb_relative_information_score: 2856.3782, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7732, predictive_accuracy: 0.6361, prior_entropy: 0.9906, recall: 0.6361, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6032, root_relative_squared_error: 1.2144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9356, kappa: 0.8694, kb_relative_information_score: 9608.0333, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.936, predictive_accuracy: 0.9358, prior_entropy: 0.9906, recall: 0.9358, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.5102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.9667, kappa: 0.9325, kb_relative_information_score: 10305.0046, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9906, recall: 0.9667, relative_absolute_error: 0.0675, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.929, kappa: 0.8573, kb_relative_information_score: 9451.1128, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9334, predictive_accuracy: 0.9288, prior_entropy: 0.9906, recall: 0.9288, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.922, kappa: 0.8414, kb_relative_information_score: 9312.5337, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9264, predictive_accuracy: 0.9227, prior_entropy: 0.9906, recall: 0.9227, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9122, kappa: 0.8242, kb_relative_information_score: 9070.0203, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9205, predictive_accuracy: 0.9119, prior_entropy: 0.9906, recall: 0.9119, relative_absolute_error: 0.1785, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.5975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9677, kappa: 0.9346, kb_relative_information_score: 10327.4218, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9678, predictive_accuracy: 0.9677, prior_entropy: 0.9906, recall: 0.9677, relative_absolute_error: 0.0654, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.3618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9512, kappa: 0.901, kb_relative_information_score: 9956.5189, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9513, predictive_accuracy: 0.9512, prior_entropy: 0.9906, recall: 0.9512, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.9326, kappa: 0.863, kb_relative_information_score: 9548.9334, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9367, predictive_accuracy: 0.9332, prior_entropy: 0.9906, recall: 0.9332, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9543, kappa: 0.9074, kb_relative_information_score: 10027.8464, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9545, predictive_accuracy: 0.9544, prior_entropy: 0.9906, recall: 0.9544, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6345, kappa: 0.3124, kb_relative_information_score: 3956.8593, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7908, predictive_accuracy: 0.6849, prior_entropy: 0.9906, recall: 0.6849, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9414, kappa: 0.8812, kb_relative_information_score: 9736.4227, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9415, predictive_accuracy: 0.9415, prior_entropy: 0.9906, recall: 0.9415, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2419, root_relative_squared_error: 0.487,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9717, kappa: 0.9426, kb_relative_information_score: 10417.0906, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9717, predictive_accuracy: 0.9717, prior_entropy: 0.9906, recall: 0.9717, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3387,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9652, kappa: 0.9294, kb_relative_information_score: 10270.3598, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9652, predictive_accuracy: 0.9652, prior_entropy: 0.9906, recall: 0.9652, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3757,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9681, kappa: 0.9354, kb_relative_information_score: 10337.6115, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9682, predictive_accuracy: 0.9682, prior_entropy: 0.9906, recall: 0.9682, relative_absolute_error: 0.0645, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.9509, kappa: 0.9004, kb_relative_information_score: 9950.4052, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.951, predictive_accuracy: 0.951, prior_entropy: 0.9906, recall: 0.951, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.913, kappa: 0.8232, kb_relative_information_score: 9116.8927, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9192, predictive_accuracy: 0.914, prior_entropy: 0.9906, recall: 0.914, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9684, kappa: 0.9359, kb_relative_information_score: 10343.7252, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9685, predictive_accuracy: 0.9684, prior_entropy: 0.9906, recall: 0.9684, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9663, kappa: 0.9318, kb_relative_information_score: 10296.8529, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 0.9906, recall: 0.9664, relative_absolute_error: 0.0682, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9462, kappa: 0.8908, kb_relative_information_score: 9844.4329, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9464, predictive_accuracy: 0.9463, prior_entropy: 0.9906, recall: 0.9463, relative_absolute_error: 0.1089, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9389, kappa: 0.8761, kb_relative_information_score: 9681.3987, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9391, predictive_accuracy: 0.939, prior_entropy: 0.9906, recall: 0.939, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.4971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.938, kappa: 0.8743, kb_relative_information_score: 9661.0194, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9906, recall: 0.9381, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5007,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.9419, kappa: 0.8828, kb_relative_information_score: 9742.5365, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9441, predictive_accuracy: 0.9417, prior_entropy: 0.9906, recall: 0.9417, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.4859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.95, kappa: 0.8985, kb_relative_information_score: 9930.0259, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9502, predictive_accuracy: 0.9501, prior_entropy: 0.9906, recall: 0.9501, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9724, kappa: 0.9441, kb_relative_information_score: 10433.3941, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 0.9906, recall: 0.9724, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 10447.6596, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1642, root_relative_squared_error: 0.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.9222, kappa: 0.842, kb_relative_information_score: 9304.382, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9224, predictive_accuracy: 0.9223, prior_entropy: 0.9906, recall: 0.9223, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2788, root_relative_squared_error: 0.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7851, kappa: 0.5721, kb_relative_information_score: 6508.345, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8448, predictive_accuracy: 0.7982, prior_entropy: 0.9906, recall: 0.7982, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9568, kappa: 0.9124, kb_relative_information_score: 10082.8705, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9569, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9334, kappa: 0.8648, kb_relative_information_score: 9557.0851, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9337, predictive_accuracy: 0.9335, prior_entropy: 0.9906, recall: 0.9335, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9683, kappa: 0.9358, kb_relative_information_score: 10341.6873, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3582,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9131, kappa: 0.8234, kb_relative_information_score: 9118.9306, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9192, predictive_accuracy: 0.9141, prior_entropy: 0.9906, recall: 0.9141, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9741, kappa: 0.9475, kb_relative_information_score: 10472.1147, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 0.9906, recall: 0.9741, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3238,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.856, kappa: 0.7172, kb_relative_information_score: 7816.6947, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8848, predictive_accuracy: 0.8563, prior_entropy: 0.9906, recall: 0.8563, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9741, kappa: 0.9475, kb_relative_information_score: 10472.1147, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 0.9906, recall: 0.9741, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9643, kappa: 0.9277, kb_relative_information_score: 10252.0185, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.9906, recall: 0.9644, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.38,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9428, kappa: 0.8841, kb_relative_information_score: 9769.0296, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.943, predictive_accuracy: 0.9429, prior_entropy: 0.9906, recall: 0.9429, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.481,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.9475, kappa: 0.8934, kb_relative_information_score: 9872.9639, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9476, predictive_accuracy: 0.9475, prior_entropy: 0.9906, recall: 0.9475, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 10449.6975, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.9906, recall: 0.9731, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9419, kappa: 0.8821, kb_relative_information_score: 9746.6124, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.942, predictive_accuracy: 0.9419, prior_entropy: 0.9906, recall: 0.9419, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.241, root_relative_squared_error: 0.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.7851, kappa: 0.5721, kb_relative_information_score: 6508.345, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8448, predictive_accuracy: 0.7982, prior_entropy: 0.9906, recall: 0.7982, relative_absolute_error: 0.4089, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4492, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8942, kappa: 0.7852, kb_relative_information_score: 8715.4209, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9074, predictive_accuracy: 0.8962, prior_entropy: 0.9906, recall: 0.8962, relative_absolute_error: 0.2104, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.94, kappa: 0.8784, kb_relative_information_score: 9705.8538, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9402, predictive_accuracy: 0.9401, prior_entropy: 0.9906, recall: 0.9401, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.4926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9361, kappa: 0.8702, kb_relative_information_score: 9622.2988, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9376, predictive_accuracy: 0.9364, prior_entropy: 0.9906, recall: 0.9364, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9445, kappa: 0.8874, kb_relative_information_score: 9805.7123, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9446, predictive_accuracy: 0.9445, prior_entropy: 0.9906, recall: 0.9445, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs