Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77734 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.7993, kappa: 0.5878, kb_relative_information_score: 20218.1135, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7996, predictive_accuracy: 0.8004, prior_entropy: 0.9835, recall: 0.8004, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7411, scimark_benchmark: 1266.7732, usercpu_time_millis: 4790, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.7993, kappa: 0.5878, kb_relative_information_score: 20218.1135, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7996, predictive_accuracy: 0.8004, prior_entropy: 0.9835, recall: 0.8004, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7411, scimark_benchmark: 1344.0655, usercpu_time_millis: 3790, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8849, kappa: 0.7633, kb_relative_information_score: 28100.9954, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8869, predictive_accuracy: 0.8857, prior_entropy: 0.9835, recall: 0.8857, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5944, scimark_benchmark: 1449.3513, usercpu_time_millis: 2900520, usercpu_time_millis_testing: 2000, usercpu_time_millis_training: 2898520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.7993, kappa: 0.5878, kb_relative_information_score: 20218.1135, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7996, predictive_accuracy: 0.8004, prior_entropy: 0.9835, recall: 0.8004, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7411, scimark_benchmark: 1392.588, usercpu_time_millis: 3490, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.6953, kappa: 0.392, kb_relative_information_score: 17292.2843, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7722, predictive_accuracy: 0.7244, prior_entropy: 0.9835, recall: 0.7244, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9284, scimark_benchmark: 1184.5027, usercpu_time_millis: 490, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.0389, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1309.2589, usercpu_time_millis: 340, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.7554, kappa: 0.4966, kb_relative_information_score: 22813.2821, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7604, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.4916, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9915, scimark_benchmark: 1210.0385, usercpu_time_millis: 330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7511, kappa: 0.4896, kb_relative_information_score: 15558.3071, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7711, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.6866, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8346, scimark_benchmark: 1293.5667, usercpu_time_millis: 970, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.7935, kappa: 0.576, kb_relative_information_score: 21095.7345, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7936, predictive_accuracy: 0.7945, prior_entropy: 0.9835, recall: 0.7945, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.757, scimark_benchmark: 1391.9574, usercpu_time_millis: 2770, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.7993, kappa: 0.5878, kb_relative_information_score: 20218.1135, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7996, predictive_accuracy: 0.8004, prior_entropy: 0.9835, recall: 0.8004, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7411, scimark_benchmark: 1374.9377, usercpu_time_millis: 3720, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 3590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6989, kappa: 0.3834, kb_relative_information_score: 17128.5057, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6987, predictive_accuracy: 0.6991, prior_entropy: 0.9835, recall: 0.6991, relative_absolute_error: 0.6158, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5485, root_relative_squared_error: 1.1096, scimark_benchmark: 1378.7709, usercpu_time_millis: 74450, usercpu_time_millis_testing: 74150, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8014, kappa: 0.5926, kb_relative_information_score: 22226.5554, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8012, predictive_accuracy: 0.8019, prior_entropy: 0.9835, recall: 0.8019, relative_absolute_error: 0.5269, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7477, scimark_benchmark: 1393.5725, usercpu_time_millis: 27180, usercpu_time_millis_testing: 3600, usercpu_time_millis_training: 23580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7559, kappa: 0.4978, kb_relative_information_score: 18495.3531, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7573, predictive_accuracy: 0.7585, prior_entropy: 0.9835, recall: 0.7585, relative_absolute_error: 0.6046, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8389, scimark_benchmark: 1627.4991, usercpu_time_millis: 340, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7519, kappa: 0.4901, kb_relative_information_score: 22765.7337, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7645, predictive_accuracy: 0.7593, prior_entropy: 0.9835, recall: 0.7593, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9926, scimark_benchmark: 1460.4346, usercpu_time_millis: 8860, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 8820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7749, kappa: 0.5368, kb_relative_information_score: 16399.0556, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7776, predictive_accuracy: 0.7778, prior_entropy: 0.9835, recall: 0.7778, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8256, scimark_benchmark: 1328.2111, usercpu_time_millis: 4370, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 4300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7687, kappa: 0.5239, kb_relative_information_score: 18169.2381, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7732, predictive_accuracy: 0.7725, prior_entropy: 0.9835, recall: 0.7725, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.394, root_relative_squared_error: 0.7971, scimark_benchmark: 1374.3813, usercpu_time_millis: 520, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7815, kappa: 0.5516, kb_relative_information_score: 22264.6253, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7813, predictive_accuracy: 0.7822, prior_entropy: 0.9835, recall: 0.7822, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.398, root_relative_squared_error: 0.8051, scimark_benchmark: 1507.1762, usercpu_time_millis: 15410, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 15160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6989, kappa: 0.3834, kb_relative_information_score: 17130.1968, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6988, predictive_accuracy: 0.6992, prior_entropy: 0.9835, recall: 0.6992, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5485, root_relative_squared_error: 1.1096, scimark_benchmark: 1577.7413, usercpu_time_millis: 1935010, usercpu_time_millis_testing: 676150, usercpu_time_millis_training: 1258860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7285, kappa: 0.4482, kb_relative_information_score: 15197.064, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7686, predictive_accuracy: 0.7452, prior_entropy: 0.9835, recall: 0.7452, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8745, scimark_benchmark: 1380.4832, usercpu_time_millis: 3490, usercpu_time_millis_testing: 850, usercpu_time_millis_training: 2640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.7388, kappa: 0.4631, kb_relative_information_score: 17328.8725, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7391, predictive_accuracy: 0.7408, prior_entropy: 0.9835, recall: 0.7408, relative_absolute_error: 0.6314, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.423, root_relative_squared_error: 0.8558, scimark_benchmark: 1375.0637, usercpu_time_millis: 1250, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.7678, kappa: 0.5246, kb_relative_information_score: 23606.0794, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7677, predictive_accuracy: 0.768, prior_entropy: 0.9835, recall: 0.768, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.474, root_relative_squared_error: 0.959, scimark_benchmark: 1655.9588, usercpu_time_millis: 5670, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 5350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.78, kappa: 0.5488, kb_relative_information_score: 23226.5348, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7798, predictive_accuracy: 0.7806, prior_entropy: 0.9835, recall: 0.7806, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8478, scimark_benchmark: 1580.0475, usercpu_time_millis: 4680, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 4460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7714, kappa: 0.5315, kb_relative_information_score: 23417.683, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7712, predictive_accuracy: 0.7718, prior_entropy: 0.9835, recall: 0.7718, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.437, root_relative_squared_error: 0.8841, scimark_benchmark: 1486.1669, usercpu_time_millis: 743610, usercpu_time_millis_testing: 690, usercpu_time_millis_training: 742920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7483, kappa: 0.4833, kb_relative_information_score: 13159.0421, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7649, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8634, scimark_benchmark: 1649.5036, usercpu_time_millis: 700, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.7926, kappa: 0.5738, kb_relative_information_score: 20777.1689, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7929, predictive_accuracy: 0.7938, prior_entropy: 0.9835, recall: 0.7938, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7592, scimark_benchmark: 1439.7634, usercpu_time_millis: 25850, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 25520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.7038, kappa: 0.3934, kb_relative_information_score: 17031.9369, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7036, predictive_accuracy: 0.7039, prior_entropy: 0.9835, recall: 0.7039, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9674, scimark_benchmark: 1430.0221, usercpu_time_millis: 1019320, usercpu_time_millis_testing: 1019060, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.7758, kappa: 0.5387, kb_relative_information_score: 16800.473, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7848, predictive_accuracy: 0.781, prior_entropy: 0.9835, recall: 0.781, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8049, scimark_benchmark: 1546.3358, usercpu_time_millis: 198790, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 198630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.7938, kappa: 0.5767, kb_relative_information_score: 20980.7657, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7939, predictive_accuracy: 0.7948, prior_entropy: 0.9835, recall: 0.7948, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.757, scimark_benchmark: 1688.7014, usercpu_time_millis: 305780, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 305400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.6943, kappa: 0.3904, kb_relative_information_score: 17217.9335, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7722, predictive_accuracy: 0.7237, prior_entropy: 0.9835, recall: 0.7237, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9282, scimark_benchmark: 1538.318, usercpu_time_millis: 1480, usercpu_time_millis_testing: 790, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7535, kappa: 0.4926, kb_relative_information_score: 22024.5505, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7564, predictive_accuracy: 0.7569, prior_entropy: 0.9835, recall: 0.7569, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9168, scimark_benchmark: 1312.307, usercpu_time_millis: 840, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.787, kappa: 0.5652, kb_relative_information_score: 21946.1339, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7879, predictive_accuracy: 0.7865, prior_entropy: 0.9835, recall: 0.7865, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7777, scimark_benchmark: 1439.6746, usercpu_time_millis: 3430, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.6953, kappa: 0.392, kb_relative_information_score: 17292.2843, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7722, predictive_accuracy: 0.7244, prior_entropy: 0.9835, recall: 0.7244, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9284, scimark_benchmark: 1491.259, usercpu_time_millis: 300, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.751, kappa: 0.4876, kb_relative_information_score: 17727.3462, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7528, predictive_accuracy: 0.7539, prior_entropy: 0.9835, recall: 0.7539, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8412, scimark_benchmark: 1416.417, usercpu_time_millis: 18546.875, usercpu_time_millis_testing: 109.375, usercpu_time_millis_training: 18437.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.7764, kappa: 0.5399, kb_relative_information_score: 17512.8356, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7853, predictive_accuracy: 0.7815, prior_entropy: 0.9835, recall: 0.7815, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7829, scimark_benchmark: 1580.7201, usercpu_time_millis: 3722860, usercpu_time_millis_testing: 3722660, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7379, kappa: 0.4633, kb_relative_information_score: 16184.3737, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.76, predictive_accuracy: 0.7491, prior_entropy: 0.9835, recall: 0.7491, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.856, scimark_benchmark: 1468.2084, usercpu_time_millis: 2410, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 1800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, f_measure: 0.7936, kappa: 0.5766, kb_relative_information_score: 21922.6298, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7934, predictive_accuracy: 0.7941, prior_entropy: 0.9835, recall: 0.7941, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7675, scimark_benchmark: 1481.0898, usercpu_time_millis: 1590, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.882, kappa: 0.7585, kb_relative_information_score: 34261.4613, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9835, recall: 0.882, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6946, scimark_benchmark: 1425.0561, usercpu_time_millis: 390, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9132, kappa: 0.8223, kb_relative_information_score: 36691.9986, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9132, predictive_accuracy: 0.9132, prior_entropy: 0.9835, recall: 0.9132, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.544, scimark_benchmark: 1369.7235, usercpu_time_millis: 6830, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 6670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7483, kappa: 0.4833, kb_relative_information_score: 13159.0421, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7649, predictive_accuracy: 0.7571, prior_entropy: 0.9835, recall: 0.7571, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8634, scimark_benchmark: 1406.6248, usercpu_time_millis: 810, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7956, kappa: 0.5816, kb_relative_information_score: 25116.8033, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7956, predictive_accuracy: 0.7956, prior_entropy: 0.9835, recall: 0.7956, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7996, scimark_benchmark: 1467.2884, usercpu_time_millis: 1102700, usercpu_time_millis_testing: 1102610, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6774, kappa: 0.3384, kb_relative_information_score: 16255.741, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6907, predictive_accuracy: 0.6898, prior_entropy: 0.9835, recall: 0.6898, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1268, scimark_benchmark: 1531.9007, usercpu_time_millis: 3412080, usercpu_time_millis_testing: 274320, usercpu_time_millis_training: 3137760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9232, kappa: 0.8427, kb_relative_information_score: 34402.3155, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9231, predictive_accuracy: 0.9232, prior_entropy: 0.9835, recall: 0.9232, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4882, scimark_benchmark: 1452.1132, usercpu_time_millis: 23050, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 22850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7797, kappa: 0.5476, kb_relative_information_score: 19982.5708, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7797, predictive_accuracy: 0.7807, prior_entropy: 0.9835, recall: 0.7807, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8171, scimark_benchmark: 1527.6823, usercpu_time_millis: 54828830, usercpu_time_millis_testing: 54828680, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9277, kappa: 0.8521, kb_relative_information_score: 35041.1653, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9277, predictive_accuracy: 0.9277, prior_entropy: 0.9835, recall: 0.9277, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.473, scimark_benchmark: 1500.4878, usercpu_time_millis: 714590, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 714040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7797, kappa: 0.5476, kb_relative_information_score: 19982.5708, mean_absolute_error: 0.2835, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7797, predictive_accuracy: 0.7807, prior_entropy: 0.9835, recall: 0.7807, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.8171, scimark_benchmark: 1707.8988, usercpu_time_millis: 51793560, usercpu_time_millis_testing: 51793380, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.8849, kappa: 0.7633, kb_relative_information_score: 28100.9954, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8869, predictive_accuracy: 0.8857, prior_entropy: 0.9835, recall: 0.8857, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.5944, scimark_benchmark: 1472.2547, usercpu_time_millis: 2730180, usercpu_time_millis_testing: 1920, usercpu_time_millis_training: 2728260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7032, kappa: 0.405, kb_relative_information_score: 17644.7948, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7706, predictive_accuracy: 0.7291, prior_entropy: 0.9835, recall: 0.7291, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.926, scimark_benchmark: 1343.2088, usercpu_time_millis: 2490, usercpu_time_millis_testing: 1640, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.7535, kappa: 0.4926, kb_relative_information_score: 22024.5505, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7564, predictive_accuracy: 0.7569, prior_entropy: 0.9835, recall: 0.7569, relative_absolute_error: 0.5122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9168, scimark_benchmark: 1350.1379, usercpu_time_millis: 960, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9129, kappa: 0.8221, kb_relative_information_score: 33168.8938, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9132, predictive_accuracy: 0.9128, prior_entropy: 0.9835, recall: 0.9128, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.517, scimark_benchmark: 1468.5908, usercpu_time_millis: 2930, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7048, kappa: 0.4075, kb_relative_information_score: 17729.0633, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7701, predictive_accuracy: 0.73, prior_entropy: 0.9835, recall: 0.73, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9256, scimark_benchmark: 1412.1803, usercpu_time_millis: 250, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, f_measure: 0.7481, kappa: 0.4829, kb_relative_information_score: 13282.1989, mean_absolute_error: 0.3646, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7649, predictive_accuracy: 0.757, prior_entropy: 0.9835, recall: 0.757, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8586, scimark_benchmark: 1378.0275, usercpu_time_millis: 4174610, usercpu_time_millis_testing: 4174600, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8884, kappa: 0.7715, kb_relative_information_score: 30308.5156, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8883, predictive_accuracy: 0.8884, prior_entropy: 0.9835, recall: 0.8884, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.5798, scimark_benchmark: 1376.6812, usercpu_time_millis: 9270, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 9160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.0389, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1332.925, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8869, kappa: 0.7675, kb_relative_information_score: 22685.4309, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8881, predictive_accuracy: 0.8876, prior_entropy: 0.9835, recall: 0.8876, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6478, scimark_benchmark: 1377.501, usercpu_time_millis: 2340, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 2090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.8074, kappa: 0.6043, kb_relative_information_score: 23082.0773, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8081, predictive_accuracy: 0.8087, prior_entropy: 0.9835, recall: 0.8087, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7454, scimark_benchmark: 1379.0298, usercpu_time_millis: 18100, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 17900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8673, kappa: 0.7278, kb_relative_information_score: 27838.4039, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8674, predictive_accuracy: 0.8677, prior_entropy: 0.9835, recall: 0.8677, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.311, root_relative_squared_error: 0.6293, scimark_benchmark: 1386.6261, usercpu_time_millis: 7203500, usercpu_time_millis_testing: 7203500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8538, kappa: 0.7022, kb_relative_information_score: 30067.699, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8554, predictive_accuracy: 0.8534, prior_entropy: 0.9835, recall: 0.8534, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6224, scimark_benchmark: 1386.6715, usercpu_time_millis: 22350, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 22060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.7486, kappa: 0.484, kb_relative_information_score: 13195.7147, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7651, predictive_accuracy: 0.7574, prior_entropy: 0.9835, recall: 0.7574, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8653, scimark_benchmark: 1224.0753, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6658, kappa: 0.3235, kb_relative_information_score: 12378.4858, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7032, predictive_accuracy: 0.6891, prior_entropy: 0.9835, recall: 0.6891, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9829, scimark_benchmark: 1334.2788, usercpu_time_millis: 610, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7959, kappa: 0.5811, kb_relative_information_score: 18266.9173, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7959, predictive_accuracy: 0.7967, prior_entropy: 0.9835, recall: 0.7967, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7751, scimark_benchmark: 1289.5814, usercpu_time_millis: 7470, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 7410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9103, kappa: 0.8164, kb_relative_information_score: 36236.8809, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9103, predictive_accuracy: 0.9104, prior_entropy: 0.9835, recall: 0.9104, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5639, scimark_benchmark: 1485.3188, usercpu_time_millis: 86010, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 85940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8491, kappa: 0.6904, kb_relative_information_score: 27646.4519, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8493, predictive_accuracy: 0.8496, prior_entropy: 0.9835, recall: 0.8496, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.688, scimark_benchmark: 1382.1259, usercpu_time_millis: 14860, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 14630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8861, kappa: 0.7668, kb_relative_information_score: 34645.7599, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8861, predictive_accuracy: 0.8861, prior_entropy: 0.9835, recall: 0.8861, relative_absolute_error: 0.233, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6824, scimark_benchmark: 1314.2198, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8803, kappa: 0.7549, kb_relative_information_score: 31350.3065, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 0.9835, recall: 0.8803, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6251, scimark_benchmark: 1272.5748, usercpu_time_millis: 400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8803, kappa: 0.7549, kb_relative_information_score: 31350.3065, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 0.9835, recall: 0.8803, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6251, scimark_benchmark: 1316.6813, usercpu_time_millis: 400, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 350,

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