Task
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16340 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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16340 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, f_measure: 0.6937, kappa: 0.0934, kb_relative_information_score: -4.0621, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9235, predictive_accuracy: 0.5912, prior_entropy: 0.3324, recall: 0.5912, relative_absolute_error: 3.5491, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.6394, root_relative_squared_error: 2.6666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.9583, kappa: 0.5972, kb_relative_information_score: 0.5437, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9631, prior_entropy: 0.3324, recall: 0.9631, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.192, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.774, kappa: 0.1466, kb_relative_information_score: -2.7818, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.927, predictive_accuracy: 0.6946, prior_entropy: 0.3324, recall: 0.6946, relative_absolute_error: 2.6515, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.5526, root_relative_squared_error: 2.3049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.9031, kappa: 0.3486, kb_relative_information_score: -0.4379, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9329, predictive_accuracy: 0.8839, prior_entropy: 0.3324, recall: 0.8839, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3408, root_relative_squared_error: 1.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.9361, kappa: 0.4819, kb_relative_information_score: 0.1563, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9416, predictive_accuracy: 0.9319, prior_entropy: 0.3324, recall: 0.9319, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.261, root_relative_squared_error: 1.0886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7303, f_measure: 0.8429, kappa: 0.2043, kb_relative_information_score: -1.554, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9243, predictive_accuracy: 0.7937, prior_entropy: 0.3324, recall: 0.7937, relative_absolute_error: 1.7907, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.4542, root_relative_squared_error: 1.8941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, f_measure: 0.8001, kappa: 0.1602, kb_relative_information_score: -2.3321, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9245, predictive_accuracy: 0.7309, prior_entropy: 0.3324, recall: 0.7309, relative_absolute_error: 2.3361, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.5187, root_relative_squared_error: 2.1635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.9018, kappa: 0.3414, kb_relative_information_score: -0.4576, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.932, predictive_accuracy: 0.8823, prior_entropy: 0.3324, recall: 0.8823, relative_absolute_error: 1.0219, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3431, root_relative_squared_error: 1.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.8413, kappa: 0.2069, kb_relative_information_score: -1.5869, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9255, predictive_accuracy: 0.7911, prior_entropy: 0.3324, recall: 0.7911, relative_absolute_error: 1.8137, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.8662, kappa: 0.2528, kb_relative_information_score: -1.1273, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.928, predictive_accuracy: 0.8282, prior_entropy: 0.3324, recall: 0.8282, relative_absolute_error: 1.4915, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.4145, root_relative_squared_error: 1.7286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7805, kappa: 0.1323, kb_relative_information_score: -2.6702, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9205, predictive_accuracy: 0.7036, prior_entropy: 0.3324, recall: 0.7036, relative_absolute_error: 2.5732, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.5444, root_relative_squared_error: 2.2706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.9676, kappa: 0.6939, kb_relative_information_score: 0.6356, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.969, predictive_accuracy: 0.9706, prior_entropy: 0.3324, recall: 0.9706, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9914, kappa: 0.925, kb_relative_information_score: 0.8901, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9914, predictive_accuracy: 0.9915, prior_entropy: 0.3324, recall: 0.9915, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.3647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9517, kappa: 0.5661, kb_relative_information_score: 0.2466, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9505, predictive_accuracy: 0.9533, prior_entropy: 0.3324, recall: 0.9533, relative_absolute_error: 0.5364, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.176, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9899, kappa: 0.9113, kb_relative_information_score: 0.8737, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3324, recall: 0.9899, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.3851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9891, kappa: 0.9045, kb_relative_information_score: 0.8655, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.3324, recall: 0.9891, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9563, kappa: 0.6089, kb_relative_information_score: 0.3651, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9554, predictive_accuracy: 0.9576, prior_entropy: 0.3324, recall: 0.9576, relative_absolute_error: 0.4389, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9894, kappa: 0.907, kb_relative_information_score: 0.8457, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9867, kappa: 0.8833, kb_relative_information_score: 0.8301, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.3324, recall: 0.9867, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.4161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9901, kappa: 0.9138, kb_relative_information_score: 0.8852, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.3324, recall: 0.9902, relative_absolute_error: 0.0817, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9891, kappa: 0.9049, kb_relative_information_score: 0.8618, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.3324, recall: 0.9891, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.9533, kappa: 0.5888, kb_relative_information_score: 0.4005, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9528, predictive_accuracy: 0.9539, prior_entropy: 0.3324, recall: 0.9539, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9746, kappa: 0.7732, kb_relative_information_score: 0.6054, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9743, predictive_accuracy: 0.9753, prior_entropy: 0.3324, recall: 0.9753, relative_absolute_error: 0.3028, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.5319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9895, kappa: 0.908, kb_relative_information_score: 0.8399, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9895, predictive_accuracy: 0.9897, prior_entropy: 0.3324, recall: 0.9897, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.3691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.9063, kappa: 0.0003, kb_relative_information_score: 0.1498, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8851, predictive_accuracy: 0.9313, prior_entropy: 0.3324, recall: 0.9313, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.262, root_relative_squared_error: 1.0929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9891, kappa: 0.9045, kb_relative_information_score: 0.8577, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.989, predictive_accuracy: 0.9891, prior_entropy: 0.3324, recall: 0.9891, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.9172, kappa: 0.1352, kb_relative_information_score: 0.1124, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9114, predictive_accuracy: 0.9364, prior_entropy: 0.3324, recall: 0.9364, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9853, kappa: 0.8714, kb_relative_information_score: 0.8148, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9852, predictive_accuracy: 0.9854, prior_entropy: 0.3324, recall: 0.9854, relative_absolute_error: 0.1357, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.4747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9786, kappa: 0.8098, kb_relative_information_score: 0.7263, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9784, predictive_accuracy: 0.9791, prior_entropy: 0.3324, recall: 0.9791, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.134, root_relative_squared_error: 0.5587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, kb_relative_information_score: -0.0541, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9731, kappa: 0.7584, kb_relative_information_score: 0.5829, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9728, predictive_accuracy: 0.974, prior_entropy: 0.3324, recall: 0.974, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.5514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9898, kappa: 0.9109, kb_relative_information_score: 0.8661, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3324, recall: 0.9899, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9882, kappa: 0.8965, kb_relative_information_score: 0.7921, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3324, recall: 0.9883, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9765, kappa: 0.7855, kb_relative_information_score: 0.5548, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9767, predictive_accuracy: 0.9777, prior_entropy: 0.3324, recall: 0.9777, relative_absolute_error: 0.407, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.5472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9794, kappa: 0.8192, kb_relative_information_score: 0.7294, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9792, predictive_accuracy: 0.9796, prior_entropy: 0.3324, recall: 0.9796, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9738, kappa: 0.7643, kb_relative_information_score: 0.5594, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9736, predictive_accuracy: 0.9748, prior_entropy: 0.3324, recall: 0.9748, relative_absolute_error: 0.2971, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.9129, kappa: 0.0831, kb_relative_information_score: -0.1204, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9032, predictive_accuracy: 0.9343, prior_entropy: 0.3324, recall: 0.9343, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9882, kappa: 0.8969, kb_relative_information_score: 0.8549, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3324, recall: 0.9883, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.3967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9533, kappa: 0.5888, kb_relative_information_score: 0.3343, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9528, predictive_accuracy: 0.9539, prior_entropy: 0.3324, recall: 0.9539, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9888, kappa: 0.9012, kb_relative_information_score: 0.8618, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9887, predictive_accuracy: 0.9889, prior_entropy: 0.3324, recall: 0.9889, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9794, kappa: 0.8199, kb_relative_information_score: 0.722, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9793, predictive_accuracy: 0.9796, prior_entropy: 0.3324, recall: 0.9796, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.5669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9878, kappa: 0.8921, kb_relative_information_score: 0.8166, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9878, predictive_accuracy: 0.9881, prior_entropy: 0.3324, recall: 0.9881, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0956, root_relative_squared_error: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9858, kappa: 0.875, kb_relative_information_score: 0.7114, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.3324, recall: 0.9859, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9901, kappa: 0.9135, kb_relative_information_score: 0.8416, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9901, predictive_accuracy: 0.9902, prior_entropy: 0.3324, recall: 0.9902, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9777, kappa: 0.799, kb_relative_information_score: 0.6823, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9776, predictive_accuracy: 0.9785, prior_entropy: 0.3324, recall: 0.9785, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.5493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9509, kappa: 0.5597, kb_relative_information_score: 0.2634, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9497, predictive_accuracy: 0.9525, prior_entropy: 0.3324, recall: 0.9525, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.7276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9882, kappa: 0.8969, kb_relative_information_score: 0.8502, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3324, recall: 0.9883, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0999, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9793, kappa: 0.8177, kb_relative_information_score: 0.7001, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9791, predictive_accuracy: 0.9796, prior_entropy: 0.3324, recall: 0.9796, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9801, kappa: 0.8251, kb_relative_information_score: 0.6794, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.98, predictive_accuracy: 0.9804, prior_entropy: 0.3324, recall: 0.9804, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.4872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.9104, kappa: 0.0677, kb_relative_information_score: -0.4046, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8976, predictive_accuracy: 0.9305, prior_entropy: 0.3324, recall: 0.9305, relative_absolute_error: 0.8101, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9533, kappa: 0.5849, kb_relative_information_score: 0.3831, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9525, predictive_accuracy: 0.9544, prior_entropy: 0.3324, recall: 0.9544, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.7513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9784, kappa: 0.8094, kb_relative_information_score: 0.7044, mean_absolute_error: 0.0245, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9782, predictive_accuracy: 0.9788, prior_entropy: 0.3324, recall: 0.9788, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.976, kappa: 0.7755, kb_relative_information_score: 0.501, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9778, predictive_accuracy: 0.978, prior_entropy: 0.3324, recall: 0.978, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.5864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9727, kappa: 0.752, kb_relative_information_score: 0.4067, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9726, predictive_accuracy: 0.974, prior_entropy: 0.3324, recall: 0.974, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.6095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9801, kappa: 0.8267, kb_relative_information_score: 0.684, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.3324, recall: 0.9801, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9759, kappa: 0.784, kb_relative_information_score: 0.7012, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9757, predictive_accuracy: 0.9767, prior_entropy: 0.3324, recall: 0.9767, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9757, kappa: 0.7812, kb_relative_information_score: 0.6793, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9756, predictive_accuracy: 0.9767, prior_entropy: 0.3324, recall: 0.9767, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.976, kappa: 0.7849, kb_relative_information_score: 0.6686, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9757, predictive_accuracy: 0.9767, prior_entropy: 0.3324, recall: 0.9767, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9762, kappa: 0.7852, kb_relative_information_score: 0.6856, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9761, predictive_accuracy: 0.9772, prior_entropy: 0.3324, recall: 0.9772, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.5562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.9053, kappa: 0.0215, kb_relative_information_score: 0.0775, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8887, predictive_accuracy: 0.9255, prior_entropy: 0.3324, recall: 0.9255, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2729, root_relative_squared_error: 1.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9898, kappa: 0.9098, kb_relative_information_score: 0.8661, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9897, predictive_accuracy: 0.9899, prior_entropy: 0.3324, recall: 0.9899, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.3777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9749, kappa: 0.7742, kb_relative_information_score: 0.681, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9747, predictive_accuracy: 0.9759, prior_entropy: 0.3324, recall: 0.9759, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.6154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9904, kappa: 0.916, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.3324, recall: 0.9905, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9896, kappa: 0.9092, kb_relative_information_score: 0.8728, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9896, predictive_accuracy: 0.9897, prior_entropy: 0.3324, recall: 0.9897, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9733, kappa: 0.7615, kb_relative_information_score: 0.582, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9729, predictive_accuracy: 0.974, prior_entropy: 0.3324, recall: 0.974, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.5551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9806, kappa: 0.8291, kb_relative_information_score: 0.6643, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9809, prior_entropy: 0.3324, recall: 0.9809, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9746, kappa: 0.7712, kb_relative_information_score: 0.6953, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9744, predictive_accuracy: 0.9756, prior_entropy: 0.3324, recall: 0.9756, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1431, root_relative_squared_error: 0.5969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9912, kappa: 0.9231, kb_relative_information_score: 0.8716, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9912, predictive_accuracy: 0.9913, prior_entropy: 0.3324, recall: 0.9913, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9829, kappa: 0.8494, kb_relative_information_score: 0.7406, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9827, predictive_accuracy: 0.983, prior_entropy: 0.3324, recall: 0.983, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9753, kappa: 0.7799, kb_relative_information_score: 0.644, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.975, predictive_accuracy: 0.9759, prior_entropy: 0.3324, recall: 0.9759, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9818, kappa: 0.84, kb_relative_information_score: 0.6987, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9817, predictive_accuracy: 0.982, prior_entropy: 0.3324, recall: 0.982, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.973, kappa: 0.7539, kb_relative_information_score: 0.4091, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9729, predictive_accuracy: 0.9743, prior_entropy: 0.3324, recall: 0.9743, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.6085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9839, kappa: 0.8576, kb_relative_information_score: 0.7644, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9837, predictive_accuracy: 0.9841, prior_entropy: 0.3324, recall: 0.9841, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.4181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9894, kappa: 0.9074, kb_relative_information_score: 0.8629, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.3901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, f_measure: 0.9124, kappa: 0.0634, kb_relative_information_score: 0.2088, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9037, predictive_accuracy: 0.9361, prior_entropy: 0.3324, recall: 0.9361, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2528, root_relative_squared_error: 1.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9898, kappa: 0.9106, kb_relative_information_score: 0.8369, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9898, predictive_accuracy: 0.9899, prior_entropy: 0.3324, recall: 0.9899, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9865, kappa: 0.8809, kb_relative_information_score: 0.7729, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9864, predictive_accuracy: 0.9867, prior_entropy: 0.3324, recall: 0.9867, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9893, kappa: 0.9066, kb_relative_information_score: 0.8637, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.096, root_relative_squared_error: 0.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9912, kappa: 0.9228, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9912, predictive_accuracy: 0.9913, prior_entropy: 0.3324, recall: 0.9913, relative_absolute_error: 0.0837, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.3733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2417, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, predictive_accuracy: 0.9388, prior_entropy: 0.3324, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9894, kappa: 0.907, kb_relative_information_score: 0.857, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9893, predictive_accuracy: 0.9894, prior_entropy: 0.3324, recall: 0.9894, relative_absolute_error: 0.0986, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.8961, kappa: -0.0049, kb_relative_information_score: -0.1326, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8844, predictive_accuracy: 0.9085, prior_entropy: 0.3324, recall: 0.9085, relative_absolute_error: 0.7941, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.3024, root_relative_squared_error: 1.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9813, kappa: 0.8353, kb_relative_information_score: 0.7163, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9811, predictive_accuracy: 0.9814, prior_entropy: 0.3324, recall: 0.9814, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4605,

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

OpenML APIs