Task
Supervised Classification on fri_c1_500_25

Supervised Classification on fri_c1_500_25

Task 3645 Supervised Classification fri_c1_500_25 565 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.6653, kappa: 0.3269, kb_relative_information_score: 108.1329, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6653, predictive_accuracy: 0.666, prior_entropy: 0.9967, recall: 0.666, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.8232, kappa: 0.6444, kb_relative_information_score: 280.1198, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8251, predictive_accuracy: 0.824, prior_entropy: 0.9967, recall: 0.824, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.6573, kappa: 0.3108, kb_relative_information_score: 98.9305, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6573, predictive_accuracy: 0.658, prior_entropy: 0.9967, recall: 0.658, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.8534, kappa: 0.7051, kb_relative_information_score: 299.4727, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8553, predictive_accuracy: 0.854, prior_entropy: 0.9967, recall: 0.854, relative_absolute_error: 0.4278, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.8232, kappa: 0.6444, kb_relative_information_score: 280.1198, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8251, predictive_accuracy: 0.824, prior_entropy: 0.9967, recall: 0.824, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6573, kappa: 0.3108, kb_relative_information_score: 108.594, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6573, predictive_accuracy: 0.658, prior_entropy: 0.9967, recall: 0.658, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6269, f_measure: 0.6183, kappa: 0.2392, kb_relative_information_score: 81.6718, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6301, predictive_accuracy: 0.628, prior_entropy: 0.9967, recall: 0.628, relative_absolute_error: 0.8554, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8497, kappa: 0.6977, kb_relative_information_score: 348.7847, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8502, predictive_accuracy: 0.85, prior_entropy: 0.9967, recall: 0.85, relative_absolute_error: 0.3018, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.6386, kappa: 0.2731, kb_relative_information_score: 112.7898, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6389, predictive_accuracy: 0.64, prior_entropy: 0.9967, recall: 0.64, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.892, kappa: 0.7831, kb_relative_information_score: 334.8909, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8921, predictive_accuracy: 0.892, prior_entropy: 0.9967, recall: 0.892, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.5721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.7689, kappa: 0.5352, kb_relative_information_score: 262.3862, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7706, predictive_accuracy: 0.77, prior_entropy: 0.9967, recall: 0.77, relative_absolute_error: 0.4789, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6856, kappa: 0.3679, kb_relative_information_score: 117.3279, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6855, predictive_accuracy: 0.686, prior_entropy: 0.9967, recall: 0.686, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6856, kappa: 0.3679, kb_relative_information_score: 117.3279, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6855, predictive_accuracy: 0.686, prior_entropy: 0.9967, recall: 0.686, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.6202, kappa: 0.2457, kb_relative_information_score: 88.917, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6363, predictive_accuracy: 0.632, prior_entropy: 0.9967, recall: 0.632, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.665, kappa: 0.3261, kb_relative_information_score: 145.6165, mean_absolute_error: 0.3554, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6652, predictive_accuracy: 0.666, prior_entropy: 0.9967, recall: 0.666, relative_absolute_error: 0.7141, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8674, kappa: 0.7333, kb_relative_information_score: 323.0716, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8697, predictive_accuracy: 0.868, prior_entropy: 0.9967, recall: 0.868, relative_absolute_error: 0.3731, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3144, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8314, kappa: 0.6608, kb_relative_information_score: 200.9533, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8329, predictive_accuracy: 0.832, prior_entropy: 0.9967, recall: 0.832, relative_absolute_error: 0.6486, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.3718, kb_relative_information_score: -0.034, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4989, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7088, kappa: 0.4143, kb_relative_information_score: 167.5461, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7097, predictive_accuracy: 0.71, prior_entropy: 0.9967, recall: 0.71, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8699, kappa: 0.7384, kb_relative_information_score: 347.9, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8699, kappa: 0.7384, kb_relative_information_score: 347.9, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.6891, kappa: 0.3746, kb_relative_information_score: 187.9252, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6894, predictive_accuracy: 0.69, prior_entropy: 0.9967, recall: 0.69, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6935, kappa: 0.3836, kb_relative_information_score: 191.9518, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6935, predictive_accuracy: 0.694, prior_entropy: 0.9967, recall: 0.694, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.808, kappa: 0.6142, kb_relative_information_score: 301.8196, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9967, recall: 0.808, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6573, kappa: 0.3108, kb_relative_information_score: 108.6195, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6573, predictive_accuracy: 0.658, prior_entropy: 0.9967, recall: 0.658, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.6735, kappa: 0.3434, kb_relative_information_score: 121.2219, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6734, predictive_accuracy: 0.674, prior_entropy: 0.9967, recall: 0.674, relative_absolute_error: 0.7794, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.6915, kappa: 0.3794, kb_relative_information_score: 117.0409, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6915, predictive_accuracy: 0.692, prior_entropy: 0.9967, recall: 0.692, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6935, kappa: 0.3836, kb_relative_information_score: 191.9518, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6935, predictive_accuracy: 0.694, prior_entropy: 0.9967, recall: 0.694, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8779, kappa: 0.7545, kb_relative_information_score: 235.702, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9967, recall: 0.878, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.808, kappa: 0.6142, kb_relative_information_score: 301.8196, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.808, predictive_accuracy: 0.808, prior_entropy: 0.9967, recall: 0.808, relative_absolute_error: 0.4001, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7474, kappa: 0.492, kb_relative_information_score: 217.8037, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7477, predictive_accuracy: 0.748, prior_entropy: 0.9967, recall: 0.748, relative_absolute_error: 0.5778, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6655, kappa: 0.3272, kb_relative_information_score: 110.2486, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6654, predictive_accuracy: 0.666, prior_entropy: 0.9967, recall: 0.666, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6573, kappa: 0.3108, kb_relative_information_score: 108.6195, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6573, predictive_accuracy: 0.658, prior_entropy: 0.9967, recall: 0.658, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.6919, kappa: 0.3808, kb_relative_information_score: 99.2075, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6918, predictive_accuracy: 0.692, prior_entropy: 0.9967, recall: 0.692, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8481, kappa: 0.6954, kb_relative_information_score: 231.6536, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.849, predictive_accuracy: 0.848, prior_entropy: 0.9967, recall: 0.848, relative_absolute_error: 0.5771, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7878, kappa: 0.5733, kb_relative_information_score: 286.5769, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.7878, predictive_accuracy: 0.788, prior_entropy: 0.9967, recall: 0.788, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.7667, kappa: 0.5476, kb_relative_information_score: 268.4572, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.804, predictive_accuracy: 0.77, prior_entropy: 0.9967, recall: 0.77, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8797, kappa: 0.7581, kb_relative_information_score: 379.1887, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8805, predictive_accuracy: 0.88, prior_entropy: 0.9967, recall: 0.88, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.8736, kappa: 0.7456, kb_relative_information_score: 373.1488, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8752, predictive_accuracy: 0.874, prior_entropy: 0.9967, recall: 0.874, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8757, kappa: 0.75, kb_relative_information_score: 375.1621, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8765, predictive_accuracy: 0.876, prior_entropy: 0.9967, recall: 0.876, relative_absolute_error: 0.2491, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6861, kappa: 0.3701, kb_relative_information_score: 187.9252, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6917, predictive_accuracy: 0.69, prior_entropy: 0.9967, recall: 0.69, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1161, scimark_benchmark: 1631.1992, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.6457, kappa: 0.2877, kb_relative_information_score: 143.6326, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6456, predictive_accuracy: 0.646, prior_entropy: 0.9967, recall: 0.646, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.595, root_relative_squared_error: 1.1927, scimark_benchmark: 1697.6783, usercpu_time_millis: 125, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6881, kappa: 0.3734, kb_relative_information_score: 185.9119, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6882, predictive_accuracy: 0.688, prior_entropy: 0.9967, recall: 0.688, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1197, scimark_benchmark: 1862.8608, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 46.875,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6881, kappa: 0.3734, kb_relative_information_score: 185.9119, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6882, predictive_accuracy: 0.688, prior_entropy: 0.9967, recall: 0.688, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1197, scimark_benchmark: 1372.7578, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6435, kappa: 0.2928, kb_relative_information_score: 141.6192, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6522, predictive_accuracy: 0.644, prior_entropy: 0.9967, recall: 0.644, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1961, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8399, kappa: 0.6782, kb_relative_information_score: 289.0212, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.84, prior_entropy: 0.9967, recall: 0.84, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7428, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.8679, kappa: 0.7345, kb_relative_information_score: 231.9676, mean_absolute_error: 0.2922, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.868, predictive_accuracy: 0.868, prior_entropy: 0.9967, recall: 0.868, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6752, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 125,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.6736, kappa: 0.3437, kb_relative_information_score: 171.8188, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6735, predictive_accuracy: 0.674, prior_entropy: 0.9967, recall: 0.674, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1446, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6435, kappa: 0.2928, kb_relative_information_score: 141.6192, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6522, predictive_accuracy: 0.644, prior_entropy: 0.9967, recall: 0.644, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1961, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6599, kappa: 0.3235, kb_relative_information_score: 76.1355, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6667, predictive_accuracy: 0.66, prior_entropy: 0.9967, recall: 0.66, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9491, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.6748, kappa: 0.3458, kb_relative_information_score: 107.0692, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6753, predictive_accuracy: 0.676, prior_entropy: 0.9967, recall: 0.676, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.451, root_relative_squared_error: 0.904, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.6935, kappa: 0.3836, kb_relative_information_score: 191.9518, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6935, predictive_accuracy: 0.694, prior_entropy: 0.9967, recall: 0.694, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1089, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.6717, kappa: 0.3399, kb_relative_information_score: 169.8055, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6716, predictive_accuracy: 0.672, prior_entropy: 0.9967, recall: 0.672, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5727, root_relative_squared_error: 1.1481, scimark_benchmark: 906.8082, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.8232, kappa: 0.6444, kb_relative_information_score: 280.1198, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8251, predictive_accuracy: 0.824, prior_entropy: 0.9967, recall: 0.824, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.7722, scimark_benchmark: 923.82, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8941, kappa: 0.7882, kb_relative_information_score: 335.9638, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8974, predictive_accuracy: 0.894, prior_entropy: 0.9967, recall: 0.894, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.5778, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8459, kappa: 0.6937, kb_relative_information_score: 353.4223, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8552, predictive_accuracy: 0.846, prior_entropy: 0.9967, recall: 0.846, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6537, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.6066, kappa: 0.2367, kb_relative_information_score: 111.23, mean_absolute_error: 0.3863, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6323, predictive_accuracy: 0.612, prior_entropy: 0.9967, recall: 0.612, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.06, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.6555, kappa: 0.3073, kb_relative_information_score: 76.5061, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6554, predictive_accuracy: 0.656, prior_entropy: 0.9967, recall: 0.656, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9409, scimark_benchmark: 1873.1108, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.8699, kappa: 0.7384, kb_relative_information_score: 347.9, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.87, predictive_accuracy: 0.87, prior_entropy: 0.9967, recall: 0.87, relative_absolute_error: 0.3141, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.5865, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6183, kappa: 0.2392, kb_relative_information_score: 80.9349, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6301, predictive_accuracy: 0.628, prior_entropy: 0.9967, recall: 0.628, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9816, scimark_benchmark: 1873.1108, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3718, kb_relative_information_score: 30.8877, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.2852, predictive_accuracy: 0.534, prior_entropy: 0.9967, recall: 0.534, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.6826, root_relative_squared_error: 1.3685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8416, kappa: 0.6814, kb_relative_information_score: 340.936, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8424, predictive_accuracy: 0.842, prior_entropy: 0.9967, recall: 0.842, relative_absolute_error: 0.3175, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.6941, kappa: 0.3857, kb_relative_information_score: 191.9518, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6943, predictive_accuracy: 0.694, prior_entropy: 0.9967, recall: 0.694, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1089, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6481, f_measure: 0.6435, kappa: 0.2928, kb_relative_information_score: 141.6192, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6522, predictive_accuracy: 0.644, prior_entropy: 0.9967, recall: 0.644, relative_absolute_error: 0.7153, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.1961, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8473, kappa: 0.6929, kb_relative_information_score: 308.2388, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8494, predictive_accuracy: 0.848, prior_entropy: 0.9967, recall: 0.848, relative_absolute_error: 0.4066, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7013, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8409, kappa: 0.6802, kb_relative_information_score: 295.0965, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.8449, predictive_accuracy: 0.842, prior_entropy: 0.9967, recall: 0.842, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7163, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6836, kappa: 0.3637, kb_relative_information_score: 117.3017, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6835, predictive_accuracy: 0.684, prior_entropy: 0.9967, recall: 0.684, relative_absolute_error: 0.7887, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9042, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.6573, kappa: 0.3108, kb_relative_information_score: 108.594, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4977, number_of_instances: 500, precision: 0.6573, predictive_accuracy: 0.658, prior_entropy: 0.9967, recall: 0.658, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.4988, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9215, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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

OpenML bootcamp

From your own software

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

OpenML APIs