Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 34537 Supervised Classification PhishingWebsites 28441 runs submitted
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  • OpenML100 study_107 study_123 study_14
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28441 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.95, kappa: 0.8987, kb_relative_information_score: 9789.5876, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9501, predictive_accuracy: 0.9501, prior_entropy: 0.9906, recall: 0.9501, relative_absolute_error: 0.1172, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.3723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9387, kappa: 0.8758, kb_relative_information_score: 9412.1149, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9387, predictive_accuracy: 0.9388, prior_entropy: 0.9906, recall: 0.9388, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9423, kappa: 0.8829, kb_relative_information_score: 9491.9434, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9423, predictive_accuracy: 0.9423, prior_entropy: 0.9906, recall: 0.9423, relative_absolute_error: 0.1453, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9492, kappa: 0.897, kb_relative_information_score: 9825.6378, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9492, predictive_accuracy: 0.9492, prior_entropy: 0.9906, recall: 0.9492, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9513, kappa: 0.9012, kb_relative_information_score: 9821.4009, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9513, predictive_accuracy: 0.9513, prior_entropy: 0.9906, recall: 0.9513, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.3699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9362, kappa: 0.8707, kb_relative_information_score: 9321.8756, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9362, predictive_accuracy: 0.9361, prior_entropy: 0.9906, recall: 0.9361, relative_absolute_error: 0.1622, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9386, kappa: 0.8755, kb_relative_information_score: 9431.123, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9906, recall: 0.9386, relative_absolute_error: 0.1513, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9384, kappa: 0.8752, kb_relative_information_score: 9397.6405, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9384, predictive_accuracy: 0.9384, prior_entropy: 0.9906, recall: 0.9384, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9508, kappa: 0.9003, kb_relative_information_score: 9806.0764, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9906, recall: 0.9509, relative_absolute_error: 0.115, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9393, kappa: 0.8771, kb_relative_information_score: 9346.526, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9394, predictive_accuracy: 0.9393, prior_entropy: 0.9906, recall: 0.9393, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9477, kappa: 0.8939, kb_relative_information_score: 9731.3023, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.9906, recall: 0.9477, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9354, kappa: 0.8693, kb_relative_information_score: 9302.6306, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9355, predictive_accuracy: 0.9354, prior_entropy: 0.9906, recall: 0.9354, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 10091.0891, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9906, recall: 0.9585, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9428, kappa: 0.8841, kb_relative_information_score: 9528.9415, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9428, predictive_accuracy: 0.9428, prior_entropy: 0.9906, recall: 0.9428, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9422, kappa: 0.8828, kb_relative_information_score: 9490.71, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9422, predictive_accuracy: 0.9422, prior_entropy: 0.9906, recall: 0.9422, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.3998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9368, kappa: 0.872, kb_relative_information_score: 9293.8532, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9368, predictive_accuracy: 0.9368, prior_entropy: 0.9906, recall: 0.9368, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9431, kappa: 0.8846, kb_relative_information_score: 9512.7111, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9431, predictive_accuracy: 0.9431, prior_entropy: 0.9906, recall: 0.9431, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9356, kappa: 0.8694, kb_relative_information_score: 9371.8094, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9356, predictive_accuracy: 0.9356, prior_entropy: 0.9906, recall: 0.9356, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9479, kappa: 0.8942, kb_relative_information_score: 9729.2456, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.9906, recall: 0.9479, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.937, kappa: 0.8724, kb_relative_information_score: 9367.4765, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.937, predictive_accuracy: 0.937, prior_entropy: 0.9906, recall: 0.937, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9388, kappa: 0.876, kb_relative_information_score: 9435.9552, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9388, predictive_accuracy: 0.9389, prior_entropy: 0.9906, recall: 0.9389, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9487, kappa: 0.8959, kb_relative_information_score: 9714.0968, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 0.9906, recall: 0.9487, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9457, kappa: 0.8899, kb_relative_information_score: 9701.5105, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9457, predictive_accuracy: 0.9457, prior_entropy: 0.9906, recall: 0.9457, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9392, kappa: 0.8769, kb_relative_information_score: 9349.4279, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9392, prior_entropy: 0.9906, recall: 0.9392, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9361, kappa: 0.8705, kb_relative_information_score: 9319.5336, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 0.9906, recall: 0.936, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9386, kappa: 0.8755, kb_relative_information_score: 9429.6181, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9906, recall: 0.9386, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9487, kappa: 0.896, kb_relative_information_score: 9738.3391, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9487, predictive_accuracy: 0.9487, prior_entropy: 0.9906, recall: 0.9487, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.94, kappa: 0.8783, kb_relative_information_score: 9452.2563, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9906, recall: 0.94, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9365, kappa: 0.8714, kb_relative_information_score: 9291.6936, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9365, predictive_accuracy: 0.9365, prior_entropy: 0.9906, recall: 0.9365, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.94, kappa: 0.8783, kb_relative_information_score: 9453.5918, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.94, predictive_accuracy: 0.94, prior_entropy: 0.9906, recall: 0.94, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9447, kappa: 0.8878, kb_relative_information_score: 9639.0227, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9447, predictive_accuracy: 0.9447, prior_entropy: 0.9906, recall: 0.9447, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9437, kappa: 0.8858, kb_relative_information_score: 9609.0449, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 0.9906, recall: 0.9437, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.961, kappa: 0.921, kb_relative_information_score: 10148.2762, mean_absolute_error: 0.0407, 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: 0.0825, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9489, kappa: 0.8963, kb_relative_information_score: 9780.8299, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.9906, recall: 0.9489, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9473, kappa: 0.8931, kb_relative_information_score: 9650.0554, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9906, recall: 0.9474, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9535, kappa: 0.9057, kb_relative_information_score: 9944.1368, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9535, predictive_accuracy: 0.9535, prior_entropy: 0.9906, recall: 0.9535, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9428, kappa: 0.8841, kb_relative_information_score: 9531.2501, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9428, predictive_accuracy: 0.9428, prior_entropy: 0.9906, recall: 0.9428, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.196, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9358, kappa: 0.8698, kb_relative_information_score: 9375.1047, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9357, predictive_accuracy: 0.9358, prior_entropy: 0.9906, recall: 0.9358, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9392, kappa: 0.8769, kb_relative_information_score: 9350.4985, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9392, prior_entropy: 0.9906, recall: 0.9392, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9477, kappa: 0.894, kb_relative_information_score: 9762.8019, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.9906, recall: 0.9477, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9368, kappa: 0.872, kb_relative_information_score: 9294.4703, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9368, predictive_accuracy: 0.9368, prior_entropy: 0.9906, recall: 0.9368, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 9765.9077, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9906, recall: 0.9497, relative_absolute_error: 0.1192, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9434, kappa: 0.8852, kb_relative_information_score: 9518.3708, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9434, predictive_accuracy: 0.9434, prior_entropy: 0.9906, recall: 0.9434, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.947, kappa: 0.8925, kb_relative_information_score: 9586.7906, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9906, recall: 0.947, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.3882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9358, kappa: 0.87, kb_relative_information_score: 9375.9793, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9358, predictive_accuracy: 0.9359, prior_entropy: 0.9906, recall: 0.9359, relative_absolute_error: 0.1564, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9488, kappa: 0.8961, kb_relative_information_score: 9750.0878, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9488, predictive_accuracy: 0.9488, prior_entropy: 0.9906, recall: 0.9488, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9424, kappa: 0.8833, kb_relative_information_score: 9571.9703, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9424, predictive_accuracy: 0.9425, prior_entropy: 0.9906, recall: 0.9425, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9478, kappa: 0.8941, kb_relative_information_score: 9618.675, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9906, recall: 0.9478, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9422, kappa: 0.8828, kb_relative_information_score: 9492.6648, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9422, predictive_accuracy: 0.9422, prior_entropy: 0.9906, recall: 0.9422, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9499, kappa: 0.8983, kb_relative_information_score: 9807.9087, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9906, recall: 0.9499, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9354, kappa: 0.869, kb_relative_information_score: 9371.3421, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9354, predictive_accuracy: 0.9354, prior_entropy: 0.9906, recall: 0.9354, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9425, kappa: 0.8834, kb_relative_information_score: 9510.4655, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 0.9906, recall: 0.9426, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.3983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9468, kappa: 0.8922, kb_relative_information_score: 9588.6575, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9468, predictive_accuracy: 0.9468, prior_entropy: 0.9906, recall: 0.9468, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9499, kappa: 0.8983, kb_relative_information_score: 9815.4664, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9906, recall: 0.9499, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.937, kappa: 0.8724, kb_relative_information_score: 9367.5767, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.937, predictive_accuracy: 0.937, prior_entropy: 0.9906, recall: 0.937, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9401, kappa: 0.8786, kb_relative_information_score: 9422.6247, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9401, predictive_accuracy: 0.9401, prior_entropy: 0.9906, recall: 0.9401, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9353, kappa: 0.8689, kb_relative_information_score: 9369.8243, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9353, predictive_accuracy: 0.9353, prior_entropy: 0.9906, recall: 0.9353, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9365, kappa: 0.8714, kb_relative_information_score: 9292.06, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9365, predictive_accuracy: 0.9365, prior_entropy: 0.9906, recall: 0.9365, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9423, kappa: 0.883, kb_relative_information_score: 9493.3189, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9423, predictive_accuracy: 0.9423, prior_entropy: 0.9906, recall: 0.9423, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9428, kappa: 0.8841, kb_relative_information_score: 9532.1612, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9428, predictive_accuracy: 0.9428, prior_entropy: 0.9906, recall: 0.9428, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9368, kappa: 0.872, kb_relative_information_score: 9294.2154, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9368, predictive_accuracy: 0.9368, prior_entropy: 0.9906, recall: 0.9368, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9519, kappa: 0.9026, kb_relative_information_score: 9848.8072, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.952, predictive_accuracy: 0.952, prior_entropy: 0.9906, recall: 0.952, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9424, kappa: 0.8833, kb_relative_information_score: 9516.0432, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.9906, recall: 0.9425, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9446, kappa: 0.8877, kb_relative_information_score: 9660.6965, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9446, predictive_accuracy: 0.9446, prior_entropy: 0.9906, recall: 0.9446, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9495, kappa: 0.8977, kb_relative_information_score: 9825.1026, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9495, predictive_accuracy: 0.9495, prior_entropy: 0.9906, recall: 0.9495, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.947, kappa: 0.8926, kb_relative_information_score: 9649.3481, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9471, predictive_accuracy: 0.9471, prior_entropy: 0.9906, recall: 0.9471, relative_absolute_error: 0.1307, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.191, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9421, kappa: 0.8826, kb_relative_information_score: 9495.1382, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9906, recall: 0.9421, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9401, kappa: 0.8785, kb_relative_information_score: 9451.8981, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9401, predictive_accuracy: 0.9401, prior_entropy: 0.9906, recall: 0.9401, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.4045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9503, kappa: 0.8992, kb_relative_information_score: 9809.1197, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 0.9906, recall: 0.9503, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.3719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9414, kappa: 0.8813, kb_relative_information_score: 9536.7985, mean_absolute_error: 0.0694, 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: 0.1406, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9387, kappa: 0.8759, kb_relative_information_score: 9434.65, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9387, predictive_accuracy: 0.9388, prior_entropy: 0.9906, recall: 0.9388, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9388, kappa: 0.8759, kb_relative_information_score: 9426.5886, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9388, predictive_accuracy: 0.9389, prior_entropy: 0.9906, recall: 0.9389, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9556, kappa: 0.9101, kb_relative_information_score: 10046.3842, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9906, recall: 0.9556, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.3514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9469, kappa: 0.8922, kb_relative_information_score: 9656.4146, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9469, predictive_accuracy: 0.9469, prior_entropy: 0.9906, recall: 0.9469, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.3829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9561, kappa: 0.911, kb_relative_information_score: 9971.6039, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9561, predictive_accuracy: 0.9561, prior_entropy: 0.9906, recall: 0.9561, relative_absolute_error: 0.0997, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.3538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9426, kappa: 0.8836, kb_relative_information_score: 9511.7982, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9427, predictive_accuracy: 0.9427, prior_entropy: 0.9906, recall: 0.9427, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9519, kappa: 0.9024, kb_relative_information_score: 9893.1083, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9519, predictive_accuracy: 0.9519, prior_entropy: 0.9906, recall: 0.9519, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9416, kappa: 0.8817, kb_relative_information_score: 9480.455, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 0.9906, recall: 0.9417, relative_absolute_error: 0.1469, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9431, kappa: 0.8846, kb_relative_information_score: 9536.6612, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9431, predictive_accuracy: 0.9431, prior_entropy: 0.9906, recall: 0.9431, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9489, kappa: 0.8965, kb_relative_information_score: 9788.3519, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.9906, recall: 0.949, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9355, kappa: 0.8692, kb_relative_information_score: 9375.8499, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9355, predictive_accuracy: 0.9355, prior_entropy: 0.9906, recall: 0.9355, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9393, kappa: 0.8771, kb_relative_information_score: 9365.7041, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9906, recall: 0.9393, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9471, kappa: 0.8928, kb_relative_information_score: 9651.9414, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9472, predictive_accuracy: 0.9472, prior_entropy: 0.9906, recall: 0.9472, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9393, kappa: 0.8771, kb_relative_information_score: 9347.9227, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9394, predictive_accuracy: 0.9393, prior_entropy: 0.9906, recall: 0.9393, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9522, kappa: 0.9031, kb_relative_information_score: 9876.0456, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9522, predictive_accuracy: 0.9522, prior_entropy: 0.9906, recall: 0.9522, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9352, kappa: 0.8687, kb_relative_information_score: 9369.1622, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9352, predictive_accuracy: 0.9352, prior_entropy: 0.9906, recall: 0.9352, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2059, root_relative_squared_error: 0.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9494, kappa: 0.8975, kb_relative_information_score: 9789.3663, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.9906, recall: 0.9494, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9435, kappa: 0.8856, kb_relative_information_score: 9523.6469, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9435, predictive_accuracy: 0.9436, prior_entropy: 0.9906, recall: 0.9436, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.3955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9426, kappa: 0.8836, kb_relative_information_score: 9511.8912, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9426, predictive_accuracy: 0.9427, prior_entropy: 0.9906, recall: 0.9427, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.198, root_relative_squared_error: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9392, kappa: 0.8769, kb_relative_information_score: 9347.7778, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9393, predictive_accuracy: 0.9392, prior_entropy: 0.9906, recall: 0.9392, relative_absolute_error: 0.1602, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9473, kappa: 0.8932, kb_relative_information_score: 9616.1807, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9474, predictive_accuracy: 0.9474, prior_entropy: 0.9906, recall: 0.9474, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9363, kappa: 0.871, kb_relative_information_score: 9338.5625, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9363, predictive_accuracy: 0.9363, prior_entropy: 0.9906, recall: 0.9363, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9393, kappa: 0.8771, kb_relative_information_score: 9347.2241, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9394, predictive_accuracy: 0.9393, prior_entropy: 0.9906, recall: 0.9393, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9425, kappa: 0.8835, kb_relative_information_score: 9499.8749, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9425, predictive_accuracy: 0.9426, prior_entropy: 0.9906, recall: 0.9426, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.198, root_relative_squared_error: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9415, kappa: 0.8815, kb_relative_information_score: 9482.724, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9415, predictive_accuracy: 0.9416, prior_entropy: 0.9906, recall: 0.9416, relative_absolute_error: 0.1466, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9437, kappa: 0.8859, kb_relative_information_score: 9521.4624, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 0.9906, recall: 0.9437, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.3955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9532, kappa: 0.9052, kb_relative_information_score: 9894.9836, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9532, predictive_accuracy: 0.9532, prior_entropy: 0.9906, recall: 0.9532, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.3615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9439, kappa: 0.8862, kb_relative_information_score: 9599.5978, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 0.9906, recall: 0.9439, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.3902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9426, kappa: 0.8837, kb_relative_information_score: 9527.6529, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9426, predictive_accuracy: 0.9427, prior_entropy: 0.9906, recall: 0.9427, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9394, kappa: 0.8773, kb_relative_information_score: 9364.6408, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9394, predictive_accuracy: 0.9394, prior_entropy: 0.9906, recall: 0.9394, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4128,

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