OpenML
Supervised Classification on oh0.wc

Supervised Classification on oh0.wc

Task 3527 Supervised Classification oh0.wc 295 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.4534, kappa: 0.3752, kb_relative_information_score: 399.7401, mean_absolute_error: 0.1091, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4546, predictive_accuracy: 0.4546, prior_entropy: 3.1536, recall: 0.4546, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3303, root_relative_squared_error: 1.1168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.0627, kb_relative_information_score: 0.7746, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2957, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.7898, kappa: 0.7528, kb_relative_information_score: 735.1865, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8179, predictive_accuracy: 0.7856, prior_entropy: 3.1536, recall: 0.7856, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.6043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.5515, kappa: 0.5101, kb_relative_information_score: 564.3187, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8049, predictive_accuracy: 0.5513, prior_entropy: 3.1536, recall: 0.5513, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2995, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 241.8952, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3603, root_relative_squared_error: 1.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.173, kappa: 0.0875, kb_relative_information_score: 128.4811, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4206, predictive_accuracy: 0.1904, prior_entropy: 3.1536, recall: 0.1904, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.7466, kappa: 0.7086, kb_relative_information_score: 737.8787, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7759, predictive_accuracy: 0.7428, prior_entropy: 3.1536, recall: 0.7428, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.818, kappa: 0.7835, kb_relative_information_score: 760.3112, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8453, predictive_accuracy: 0.8126, prior_entropy: 3.1536, recall: 0.8126, relative_absolute_error: 0.2874, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.814, kappa: 0.7812, kb_relative_information_score: 787.9725, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8264, predictive_accuracy: 0.8096, prior_entropy: 3.1536, recall: 0.8096, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.7981, kappa: 0.7704, kb_relative_information_score: 777.422, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8023, predictive_accuracy: 0.7986, prior_entropy: 3.1536, recall: 0.7986, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.8819, kappa: 0.8608, kb_relative_information_score: 695.462, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.9006, predictive_accuracy: 0.8794, prior_entropy: 3.1536, recall: 0.8794, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5759, scimark_benchmark: 1529.1914, usercpu_time_millis: 105700, usercpu_time_millis_testing: 1670, usercpu_time_millis_training: 104030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.7981, kappa: 0.7704, kb_relative_information_score: 777.422, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8023, predictive_accuracy: 0.7986, prior_entropy: 3.1536, recall: 0.7986, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6771, scimark_benchmark: 901.458, usercpu_time_millis: 13780, usercpu_time_millis_testing: 11530, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.1786, kappa: 0.0972, kb_relative_information_score: 170.4858, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4038, predictive_accuracy: 0.2612, prior_entropy: 3.1536, recall: 0.2612, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3201, root_relative_squared_error: 1.0824, scimark_benchmark: 933.6955, usercpu_time_millis: 4980, usercpu_time_millis_testing: 3840, usercpu_time_millis_training: 1140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8303, kappa: 0.7991, kb_relative_information_score: 791.7655, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8483, predictive_accuracy: 0.8255, prior_entropy: 3.1536, recall: 0.8255, relative_absolute_error: 0.2474, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5745, scimark_benchmark: 935.188, usercpu_time_millis: 30140, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 29590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8084, kappa: 0.7816, kb_relative_information_score: 235.3393, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8141, predictive_accuracy: 0.8106, prior_entropy: 3.1536, recall: 0.8106, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.9328, scimark_benchmark: 1681.2313, usercpu_time_millis: 7980, usercpu_time_millis_testing: 5950, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.0349, kappa: 0.0356, kb_relative_information_score: 55.0228, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0415, predictive_accuracy: 0.0867, prior_entropy: 3.1536, recall: 0.0867, relative_absolute_error: 1.044, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.4443, usercpu_time_millis: 158.967, usercpu_time_millis_testing: 116.631, usercpu_time_millis_training: 42.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.5785, kappa: 0.5672, kb_relative_information_score: 424.7072, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.6281, predictive_accuracy: 0.6321, prior_entropy: 3.1536, recall: 0.6321, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.7815, usercpu_time_millis: 6.768, usercpu_time_millis_testing: 0.754, usercpu_time_millis_training: 6.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.869, kappa: 0.849, kb_relative_information_score: 854.1313, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8751, predictive_accuracy: 0.8684, prior_entropy: 3.1536, recall: 0.8684, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5486, usercpu_time_millis: 67908.475, usercpu_time_millis_testing: 67907.606, usercpu_time_millis_training: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.1388, kappa: 0.0259, kb_relative_information_score: 109.2389, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.1114, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.3582, usercpu_time_millis: 21.312, usercpu_time_millis_testing: 0.95, usercpu_time_millis_training: 20.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7774, kappa: 0.7473, kb_relative_information_score: 751.532, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7798, predictive_accuracy: 0.7797, prior_entropy: 3.1536, recall: 0.7797, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.7099, usercpu_time_millis: 1722.58, usercpu_time_millis_testing: 1.807, usercpu_time_millis_training: 1720.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8436, kappa: 0.8141, kb_relative_information_score: 822.2536, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8616, predictive_accuracy: 0.8385, prior_entropy: 3.1536, recall: 0.8385, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.6078, usercpu_time_millis: 22.529, usercpu_time_millis_testing: 1.477, usercpu_time_millis_training: 21.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9016, kappa: 0.8851, kb_relative_information_score: 884.4964, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.9137, predictive_accuracy: 0.9003, prior_entropy: 3.1536, recall: 0.9003, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4775, usercpu_time_millis: 128.13, usercpu_time_millis_testing: 1.584, usercpu_time_millis_training: 126.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.767, kappa: 0.7078, kb_relative_information_score: 712.3096, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8662, predictive_accuracy: 0.7498, prior_entropy: 3.1536, recall: 0.7498, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.7565, usercpu_time_millis: 36.142, usercpu_time_millis_testing: 8.057, usercpu_time_millis_training: 28.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.1149, kappa: 0.0016, kb_relative_information_score: 97.6063, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0892, predictive_accuracy: 0.1825, prior_entropy: 3.1536, recall: 0.1825, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.3674, usercpu_time_millis: 22.218, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 21.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.6305, kappa: 0.5827, kb_relative_information_score: 601.7303, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8255, predictive_accuracy: 0.6451, prior_entropy: 3.1536, recall: 0.6451, relative_absolute_error: 0.4058, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.901, usercpu_time_millis: 13363.261, usercpu_time_millis_testing: 6420.152, usercpu_time_millis_training: 6943.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7796, kappa: 0.7211, kb_relative_information_score: 734.3622, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8834, predictive_accuracy: 0.7607, prior_entropy: 3.1536, recall: 0.7607, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.7398, usercpu_time_millis: 12605.085, usercpu_time_millis_testing: 6023.996, usercpu_time_millis_training: 6581.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8945, kappa: 0.877, kb_relative_information_score: 876.3163, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.9079, predictive_accuracy: 0.8933, prior_entropy: 3.1536, recall: 0.8933, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.4939, usercpu_time_millis: 8151.61, usercpu_time_millis_testing: 5.855, usercpu_time_millis_training: 8145.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0627, kb_relative_information_score: 102.9358, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.3582, usercpu_time_millis: 13422.946, usercpu_time_millis_testing: 6406.122, usercpu_time_millis_training: 7016.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9013, kappa: 0.8851, kb_relative_information_score: 883.7795, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.9132, predictive_accuracy: 0.9003, prior_entropy: 3.1536, recall: 0.9003, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4775, usercpu_time_millis: 612.401, usercpu_time_millis_testing: 42.762, usercpu_time_millis_training: 569.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8192, kappa: 0.7954, kb_relative_information_score: 794.4962, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8202, predictive_accuracy: 0.8215, prior_entropy: 3.1536, recall: 0.8215, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6389, usercpu_time_millis: 2229.578, usercpu_time_millis_testing: 198.042, usercpu_time_millis_training: 2031.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.8031, kappa: 0.7714, kb_relative_information_score: 782.6888, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8095, predictive_accuracy: 0.8006, prior_entropy: 3.1536, recall: 0.8006, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6753, usercpu_time_millis: 526.286, usercpu_time_millis_testing: 44.861, usercpu_time_millis_training: 481.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 241.8952, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3603, root_relative_squared_error: 1.2184, usercpu_time_millis: 271.909, usercpu_time_millis_testing: 45.991, usercpu_time_millis_training: 225.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.5785, kappa: 0.5672, kb_relative_information_score: 550.0971, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.6281, predictive_accuracy: 0.6321, prior_entropy: 3.1536, recall: 0.6321, relative_absolute_error: 0.4206, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.9173, usercpu_time_millis: 11.367, usercpu_time_millis_testing: 1.451, usercpu_time_millis_training: 9.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.0349, kappa: 0.0356, kb_relative_information_score: 55.0228, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0415, predictive_accuracy: 0.0867, prior_entropy: 3.1536, recall: 0.0867, relative_absolute_error: 1.044, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.4452, usercpu_time_millis: 168.186, usercpu_time_millis_testing: 125.1, usercpu_time_millis_training: 43.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.8959, kappa: 0.8809, kb_relative_information_score: 881.1798, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8995, predictive_accuracy: 0.8963, prior_entropy: 3.1536, recall: 0.8963, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.144, root_relative_squared_error: 0.487, usercpu_time_millis: 3.749, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 3.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8993, kappa: 0.8844, kb_relative_information_score: 888.3061, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.9023, predictive_accuracy: 0.8993, prior_entropy: 3.1536, recall: 0.8993, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4799, usercpu_time_millis: 4.829, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 4.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.7979, kappa: 0.7628, kb_relative_information_score: 781.5368, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8094, predictive_accuracy: 0.7936, prior_entropy: 3.1536, recall: 0.7936, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.687, usercpu_time_millis: 527.015, usercpu_time_millis_testing: 41.448, usercpu_time_millis_training: 485.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7191, kappa: 0.6716, kb_relative_information_score: 665.0585, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8358, predictive_accuracy: 0.7208, prior_entropy: 3.1536, recall: 0.7208, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.799, usercpu_time_millis: 151.763, usercpu_time_millis_testing: 28.359, usercpu_time_millis_training: 123.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6323, f_measure: 0.3737, kappa: 0.2699, kb_relative_information_score: 315.4422, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.494, predictive_accuracy: 0.3819, prior_entropy: 3.1536, recall: 0.3819, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3516, root_relative_squared_error: 1.189, usercpu_time_millis: 79.126, usercpu_time_millis_testing: 77.66, usercpu_time_millis_training: 1.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.85, kappa: 0.8244, kb_relative_information_score: 830.3249, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8611, predictive_accuracy: 0.8475, prior_entropy: 3.1536, recall: 0.8475, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5907, usercpu_time_millis: 1348.627, usercpu_time_millis_testing: 1.873, usercpu_time_millis_training: 1346.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.173, kappa: 0.0875, kb_relative_information_score: 128.4811, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4206, predictive_accuracy: 0.1904, prior_entropy: 3.1536, recall: 0.1904, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4024, root_relative_squared_error: 1.3607, usercpu_time_millis: 482.211, usercpu_time_millis_testing: 83.229, usercpu_time_millis_training: 398.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.8544, kappa: 0.8302, kb_relative_information_score: 835.8159, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8637, predictive_accuracy: 0.8524, prior_entropy: 3.1536, recall: 0.8524, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.5809, usercpu_time_millis: 150.203, usercpu_time_millis_testing: 1.919, usercpu_time_millis_training: 148.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9087, kappa: 0.8944, kb_relative_information_score: 893.458, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.9169, predictive_accuracy: 0.9083, prior_entropy: 3.1536, recall: 0.9083, relative_absolute_error: 0.1049, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.458, usercpu_time_millis: 170.34, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 169.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7572, kappa: 0.7225, kb_relative_information_score: 725.9074, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7612, predictive_accuracy: 0.7577, prior_entropy: 3.1536, recall: 0.7577, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.7444, usercpu_time_millis: 1587.472, usercpu_time_millis_testing: 1.711, usercpu_time_millis_training: 1585.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.2804, kappa: 0.2372, kb_relative_information_score: 221.3002, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2545, predictive_accuracy: 0.3689, prior_entropy: 3.1536, recall: 0.3689, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.273, root_relative_squared_error: 0.9233, scimark_benchmark: 999.6346, usercpu_time_millis: 51460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 51440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 870.5324, usercpu_time_millis: 1660, usercpu_time_millis_training: 1660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.0964, kappa: -0.0011, kb_relative_information_score: 23.9512, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0691, predictive_accuracy: 0.1835, prior_entropy: 3.1536, recall: 0.1835, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.297, root_relative_squared_error: 1.0044, scimark_benchmark: 802.8865, usercpu_time_millis: 500370, usercpu_time_millis_testing: 29350, usercpu_time_millis_training: 471020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7204, kappa: 0.67, kb_relative_information_score: 708.7475, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7616, predictive_accuracy: 0.7129, prior_entropy: 3.1536, recall: 0.7129, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.678, scimark_benchmark: 1210.0845, usercpu_time_millis: 43150, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 43000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.187, kappa: 0.0892, kb_relative_information_score: 164.3924, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.3356, predictive_accuracy: 0.2542, prior_entropy: 3.1536, recall: 0.2542, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.3403, root_relative_squared_error: 1.1508, scimark_benchmark: 1132.0644, usercpu_time_millis: 2400, usercpu_time_millis_testing: 2400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.7117, kappa: 0.6501, kb_relative_information_score: 647.5215, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7798, predictive_accuracy: 0.6989, prior_entropy: 3.1536, recall: 0.6989, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.6782, scimark_benchmark: 1305.4733, usercpu_time_millis: 35710, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 35590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.7172, kappa: 0.6665, kb_relative_information_score: 678.7562, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7581, predictive_accuracy: 0.7119, prior_entropy: 3.1536, recall: 0.7119, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.67, scimark_benchmark: 690.2966, usercpu_time_millis: 52900, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 52730,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7901, kappa: 0.7517, kb_relative_information_score: 737.2892, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8254, predictive_accuracy: 0.7846, prior_entropy: 3.1536, recall: 0.7846, relative_absolute_error: 0.3162, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.592, scimark_benchmark: 1132.9412, usercpu_time_millis: 42750, usercpu_time_millis_training: 42750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7013, kappa: 0.6613, kb_relative_information_score: 692.5009, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8163, predictive_accuracy: 0.6979, prior_entropy: 3.1536, recall: 0.6979, relative_absolute_error: 0.3463, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.8191, scimark_benchmark: 914.6678, usercpu_time_millis: 48260, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 48080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.81, kappa: 0.7784, kb_relative_information_score: 772.8871, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8279, predictive_accuracy: 0.8076, prior_entropy: 3.1536, recall: 0.8076, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5481, scimark_benchmark: 407.186, usercpu_time_millis: 56040, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 55900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.7466, kappa: 0.7086, kb_relative_information_score: 737.8787, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7759, predictive_accuracy: 0.7428, prior_entropy: 3.1536, recall: 0.7428, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.676, scimark_benchmark: 1330.2405, usercpu_time_millis: 35610, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 35450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7212, kappa: 0.6732, kb_relative_information_score: 690.1845, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7412, predictive_accuracy: 0.7159, prior_entropy: 3.1536, recall: 0.7159, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.7403, scimark_benchmark: 1337.4797, usercpu_time_millis: 34940, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 34790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.1756, kappa: 0.1044, kb_relative_information_score: 180.4329, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4396, predictive_accuracy: 0.2692, prior_entropy: 3.1536, recall: 0.2692, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2985, root_relative_squared_error: 1.0095, scimark_benchmark: 1308.2604, usercpu_time_millis: 2190, usercpu_time_millis_testing: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5819, f_measure: 0.1602, kappa: 0.0679, kb_relative_information_score: 175.2374, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.3619, predictive_accuracy: 0.2363, prior_entropy: 3.1536, recall: 0.2363, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.311, root_relative_squared_error: 1.0518, scimark_benchmark: 1139.1501, usercpu_time_millis: 2890, usercpu_time_millis_testing: 2890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8095, kappa: 0.7828, kb_relative_information_score: 235.6632, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8148, predictive_accuracy: 0.8116, prior_entropy: 3.1536, recall: 0.8116, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9326, scimark_benchmark: 762.7246, usercpu_time_millis: 2730, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.7647, kappa: 0.7309, kb_relative_information_score: 734.0914, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7699, predictive_accuracy: 0.7647, prior_entropy: 3.1536, recall: 0.7647, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.728, scimark_benchmark: 781.8007, usercpu_time_millis: 2227710, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 2227280,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: weka.classifiers.functions.SGD: Cannot handle multi-valued nominal class! Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.7981, kappa: 0.7704, kb_relative_information_score: 777.422, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8023, predictive_accuracy: 0.7986, prior_entropy: 3.1536, recall: 0.7986, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6771, scimark_benchmark: 1108.7015, usercpu_time_millis: 17110, usercpu_time_millis_testing: 15860, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8032, kappa: 0.7693, kb_relative_information_score: 754.4164, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8172, predictive_accuracy: 0.7996, prior_entropy: 3.1536, recall: 0.7996, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.6159, scimark_benchmark: 1145.4365, usercpu_time_millis: 100440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.5515, kappa: 0.5101, kb_relative_information_score: 564.3187, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8049, predictive_accuracy: 0.5513, prior_entropy: 3.1536, recall: 0.5513, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2995, root_relative_squared_error: 1.0127, scimark_benchmark: 1263.7289, usercpu_time_millis: 29680, usercpu_time_millis_testing: 12480, usercpu_time_millis_training: 17200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8292, kappa: 0.8102, kb_relative_information_score: 538.8532, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8603, predictive_accuracy: 0.8365, prior_entropy: 3.1536, recall: 0.8365, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.7184, scimark_benchmark: 1092.8982, usercpu_time_millis: 13770, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 13000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.7898, kappa: 0.7528, kb_relative_information_score: 735.1865, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8179, predictive_accuracy: 0.7856, prior_entropy: 3.1536, recall: 0.7856, relative_absolute_error: 0.3207, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.6043, scimark_benchmark: 1022.0154, usercpu_time_millis: 8760, usercpu_time_millis_training: 8760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.173, kappa: 0.0875, kb_relative_information_score: 128.0223, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.4206, predictive_accuracy: 0.1904, prior_entropy: 3.1536, recall: 0.1904, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4002, root_relative_squared_error: 1.3533, scimark_benchmark: 980.227, usercpu_time_millis: 1580, usercpu_time_millis_testing: 1570, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8161, kappa: 0.7835, kb_relative_information_score: 788.1521, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.828, predictive_accuracy: 0.8116, prior_entropy: 3.1536, recall: 0.8116, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6226, scimark_benchmark: 1127.8363, usercpu_time_millis: 28750, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 28730,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8562, kappa: 0.8381, kb_relative_information_score: 829.7627, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8835, predictive_accuracy: 0.8604, prior_entropy: 3.1536, recall: 0.8604, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0627, kb_relative_information_score: 102.9358, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.6909, kappa: 0.6345, kb_relative_information_score: 638.43, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.7995, predictive_accuracy: 0.6879, prior_entropy: 3.1536, recall: 0.6879, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0627, kb_relative_information_score: 102.9358, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.7549, kappa: 0.6944, kb_relative_information_score: 619.8148, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8543, predictive_accuracy: 0.7378, prior_entropy: 3.1536, recall: 0.7378, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6501, scimark_benchmark: 851.2074, usercpu_time_millis: 93440, usercpu_time_millis_training: 93440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 819.5729, usercpu_time_millis: 8310, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 8100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.7549, kappa: 0.6944, kb_relative_information_score: 619.8148, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8543, predictive_accuracy: 0.7378, prior_entropy: 3.1536, recall: 0.7378, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6501, scimark_benchmark: 906.5979, usercpu_time_millis: 128250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 128240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8654, kappa: 0.8418, kb_relative_information_score: 799.7708, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8764, predictive_accuracy: 0.8624, prior_entropy: 3.1536, recall: 0.8624, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4922, scimark_benchmark: 933.9, usercpu_time_millis: 1472220, usercpu_time_millis_testing: 505690, usercpu_time_millis_training: 966530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8618, kappa: 0.8384, kb_relative_information_score: 795.531, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8708, predictive_accuracy: 0.8594, prior_entropy: 3.1536, recall: 0.8594, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.5032, scimark_benchmark: 935.9271, usercpu_time_millis: 743050, usercpu_time_millis_testing: 251530, usercpu_time_millis_training: 491520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8502, kappa: 0.8235, kb_relative_information_score: 787.6578, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8619, predictive_accuracy: 0.8465, prior_entropy: 3.1536, recall: 0.8465, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.5233, scimark_benchmark: 936.1714, usercpu_time_millis: 366880, usercpu_time_millis_testing: 123990, usercpu_time_millis_training: 242890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4886, f_measure: 0.0627, kb_relative_information_score: 0.7746, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2957, root_relative_squared_error: 1, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 936.1714, usercpu_time_millis: 1400, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 935.6052, usercpu_time_millis: 1500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 940.0055, usercpu_time_millis: 1570, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 935.6052, usercpu_time_millis: 1510, usercpu_time_millis_training: 1510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.9976, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9098, scimark_benchmark: 935.6052, usercpu_time_millis: 1650, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0627, kb_relative_information_score: 102.9358, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0374, predictive_accuracy: 0.1934, prior_entropy: 3.1536, recall: 0.1934, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.3582, scimark_benchmark: 941.9549, usercpu_time_millis: 290, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.8157, kappa: 0.7801, kb_relative_information_score: 731.6525, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8429, predictive_accuracy: 0.8096, prior_entropy: 3.1536, recall: 0.8096, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5608, scimark_benchmark: 896.741, usercpu_time_millis: 316440, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 316200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8193, kappa: 0.7865, kb_relative_information_score: 747.9811, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8452, predictive_accuracy: 0.8156, prior_entropy: 3.1536, recall: 0.8156, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.5637, scimark_benchmark: 943.4741, usercpu_time_millis: 3245090, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 3244570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.2453, kappa: 0.2059, kb_relative_information_score: 194.7478, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.2316, predictive_accuracy: 0.3509, prior_entropy: 3.1536, recall: 0.3509, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.9099, scimark_benchmark: 933.0918, usercpu_time_millis: 1240, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 899.1108, usercpu_time_millis: 9910, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 9680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.7549, kappa: 0.6944, kb_relative_information_score: 619.8148, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8543, predictive_accuracy: 0.7378, prior_entropy: 3.1536, recall: 0.7378, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6501, scimark_benchmark: 933.5515, usercpu_time_millis: 131370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 131360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.6614, kappa: 0.6154, kb_relative_information_score: 618.338, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.6632, predictive_accuracy: 0.664, prior_entropy: 3.1536, recall: 0.664, relative_absolute_error: 0.3955, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.8495, scimark_benchmark: 938.838, usercpu_time_millis: 2897200, usercpu_time_millis_testing: 260960, usercpu_time_millis_training: 2636240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 915.9028, usercpu_time_millis: 11120, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 10900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 1322.3407, usercpu_time_millis: 7300, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 7110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 1340.5125, usercpu_time_millis: 6690, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 6510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.829, kappa: 0.8007, kb_relative_information_score: 797.6704, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8381, predictive_accuracy: 0.8265, prior_entropy: 3.1536, recall: 0.8265, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5788, scimark_benchmark: 1316.5668, usercpu_time_millis: 6320, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 6150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8426, kappa: 0.8154, kb_relative_information_score: 814.141, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.8533, predictive_accuracy: 0.8395, prior_entropy: 3.1536, recall: 0.8395, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.5272, scimark_benchmark: 1325.3966, usercpu_time_millis: 342120, usercpu_time_millis_testing: 18480, usercpu_time_millis_training: 323640,

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