OpenML
Supervised Classification on BNG(tic-tac-toe)

Supervised Classification on BNG(tic-tac-toe)

Task 322 Supervised Classification BNG(tic-tac-toe) 238 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7784, kappa: 0.5039, kb_relative_information_score: 4574.7178, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7784, predictive_accuracy: 0.783, prior_entropy: 0.9315, recall: 0.783, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8448, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7224, kappa: 0.3775, kb_relative_information_score: 1183.7917, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7211, predictive_accuracy: 0.7291, prior_entropy: 0.9315, recall: 0.7291, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9203, scimark_benchmark: 972.587, usercpu_time_millis: 1980, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7191, kappa: 0.3671, kb_relative_information_score: 2685.0461, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7203, predictive_accuracy: 0.7299, prior_entropy: 0.9315, recall: 0.7299, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8925, scimark_benchmark: 851.2074, usercpu_time_millis: 23250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 23220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 941.6675, usercpu_time_millis: 180, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7917, kappa: 0.5337, kb_relative_information_score: 5024.2098, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7921, predictive_accuracy: 0.796, prior_entropy: 0.9315, recall: 0.796, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7925, scimark_benchmark: 941.6675, usercpu_time_millis: 3180, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 3050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7823, kappa: 0.5158, kb_relative_information_score: 5375.2058, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7813, predictive_accuracy: 0.7843, prior_entropy: 0.9315, recall: 0.7843, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8266, scimark_benchmark: 931.771, usercpu_time_millis: 8700, usercpu_time_millis_testing: 2220, usercpu_time_millis_training: 6480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7817, kappa: 0.5092, kb_relative_information_score: 6676.4102, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7845, predictive_accuracy: 0.7886, prior_entropy: 0.9315, recall: 0.7886, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9658, scimark_benchmark: 941.3847, usercpu_time_millis: 414280, usercpu_time_millis_testing: 159140, usercpu_time_millis_training: 255140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 974.2014, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 941.3847, usercpu_time_millis: 180, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8012, kappa: 0.5561, kb_relative_information_score: 5472.2081, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.8009, predictive_accuracy: 0.8042, prior_entropy: 0.9315, recall: 0.8042, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7833, scimark_benchmark: 938.5498, usercpu_time_millis: 6690, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 6570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7823, kappa: 0.5158, kb_relative_information_score: 5375.2058, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7813, predictive_accuracy: 0.7843, prior_entropy: 0.9315, recall: 0.7843, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8266, scimark_benchmark: 943.1009, usercpu_time_millis: 10060, usercpu_time_millis_testing: 3060, usercpu_time_millis_training: 7000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7784, kappa: 0.5039, kb_relative_information_score: 4574.7178, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7784, predictive_accuracy: 0.783, prior_entropy: 0.9315, recall: 0.783, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8448, scimark_benchmark: 819.5729, usercpu_time_millis: 540, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7224, kappa: 0.3775, kb_relative_information_score: 1183.7917, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7211, predictive_accuracy: 0.7291, prior_entropy: 0.9315, recall: 0.7291, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9203, scimark_benchmark: 935.2002, usercpu_time_millis: 1650, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7191, kappa: 0.3671, kb_relative_information_score: 2685.0461, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7203, predictive_accuracy: 0.7299, prior_entropy: 0.9315, recall: 0.7299, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8925, scimark_benchmark: 936.2574, usercpu_time_millis: 20210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7817, kappa: 0.5092, kb_relative_information_score: 6676.4102, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7845, predictive_accuracy: 0.7886, prior_entropy: 0.9315, recall: 0.7886, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9658, scimark_benchmark: 927.2882, usercpu_time_millis: 415080, usercpu_time_millis_testing: 173530, usercpu_time_millis_training: 241550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 930.404, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 938.1282, usercpu_time_millis: 270, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 938.1282, usercpu_time_millis: 260, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 903.2737, usercpu_time_millis: 190, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7917, kappa: 0.5337, kb_relative_information_score: 5024.2098, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7921, predictive_accuracy: 0.796, prior_entropy: 0.9315, recall: 0.796, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7925, scimark_benchmark: 933.3455, usercpu_time_millis: 3540, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 3320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 944.0133, usercpu_time_millis: 170, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7823, kappa: 0.5158, kb_relative_information_score: 5375.2058, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7813, predictive_accuracy: 0.7843, prior_entropy: 0.9315, recall: 0.7843, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8266, scimark_benchmark: 901.4991, usercpu_time_millis: 9440, usercpu_time_millis_testing: 2620, usercpu_time_millis_training: 6820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7976, kappa: 0.5465, kb_relative_information_score: 5034.7896, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7984, predictive_accuracy: 0.8021, prior_entropy: 0.9315, recall: 0.8021, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7783, scimark_benchmark: 938.4601, usercpu_time_millis: 1801800, usercpu_time_millis_testing: 119400, usercpu_time_millis_training: 1682400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8706, f_measure: 0.7971, kappa: 0.5457, kb_relative_information_score: 5040.0468, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7977, predictive_accuracy: 0.8014, prior_entropy: 0.9315, recall: 0.8014, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7789, scimark_benchmark: 938.4601, usercpu_time_millis: 847580, usercpu_time_millis_testing: 33550, usercpu_time_millis_training: 814030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7978, kappa: 0.5469, kb_relative_information_score: 5022.4872, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7988, predictive_accuracy: 0.8024, prior_entropy: 0.9315, recall: 0.8024, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.7796, scimark_benchmark: 917.2109, usercpu_time_millis: 563620, usercpu_time_millis_testing: 12180, usercpu_time_millis_training: 551440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7964, kappa: 0.5441, kb_relative_information_score: 5031.6329, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7971, predictive_accuracy: 0.8008, prior_entropy: 0.9315, recall: 0.8008, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7808, scimark_benchmark: 911.2316, usercpu_time_millis: 294920, usercpu_time_millis_testing: 6300, usercpu_time_millis_training: 288620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7986, kappa: 0.5493, kb_relative_information_score: 5070.2149, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7991, predictive_accuracy: 0.8027, prior_entropy: 0.9315, recall: 0.8027, relative_absolute_error: 0.6329, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7818, scimark_benchmark: 926.5859, usercpu_time_millis: 160650, usercpu_time_millis_testing: 3250, usercpu_time_millis_training: 157400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7, kappa: 0.3219, kb_relative_information_score: 2527.0541, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.709, predictive_accuracy: 0.7199, prior_entropy: 0.9315, recall: 0.7199, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9041, scimark_benchmark: 926.5859, usercpu_time_millis: 390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7, kappa: 0.3219, kb_relative_information_score: 2527.0541, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.709, predictive_accuracy: 0.7199, prior_entropy: 0.9315, recall: 0.7199, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9041, scimark_benchmark: 929.0296, usercpu_time_millis: 410, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7, kappa: 0.3219, kb_relative_information_score: 2527.0541, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.709, predictive_accuracy: 0.7199, prior_entropy: 0.9315, recall: 0.7199, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9041, scimark_benchmark: 894.7131, usercpu_time_millis: 420, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7, kappa: 0.3219, kb_relative_information_score: 2527.0541, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.709, predictive_accuracy: 0.7199, prior_entropy: 0.9315, recall: 0.7199, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9041, scimark_benchmark: 926.5859, usercpu_time_millis: 410, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.7, kappa: 0.3219, kb_relative_information_score: 2527.0541, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.709, predictive_accuracy: 0.7199, prior_entropy: 0.9315, recall: 0.7199, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9041, scimark_benchmark: 894.7131, usercpu_time_millis: 480, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 400,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7142, kappa: 0.36, kb_relative_information_score: 4485.9357, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7124, predictive_accuracy: 0.7203, prior_entropy: 0.9315, recall: 0.7203, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9963, scimark_benchmark: 938.3115, usercpu_time_millis: 7570, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 7260,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 929.0363, usercpu_time_millis: 190, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1349.1517, usercpu_time_millis: 150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1286.2211, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8012, kappa: 0.5561, kb_relative_information_score: 5472.2081, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.8009, predictive_accuracy: 0.8042, prior_entropy: 0.9315, recall: 0.8042, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7833, scimark_benchmark: 1332.9478, usercpu_time_millis: 8940, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 8660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 1338.5214, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 1346.2927, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 1350.2591, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1374.9737, usercpu_time_millis: 140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7784, kappa: 0.5039, kb_relative_information_score: 4574.7178, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7784, predictive_accuracy: 0.783, prior_entropy: 0.9315, recall: 0.783, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8448, scimark_benchmark: 1333.6736, usercpu_time_millis: 420, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7106, kappa: 0.3494, kb_relative_information_score: 2782.919, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7097, predictive_accuracy: 0.7196, prior_entropy: 0.9315, recall: 0.7196, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9085, scimark_benchmark: 1316.5668, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1324.7884, usercpu_time_millis: 150, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1342.8584, usercpu_time_millis: 140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1337.9552, usercpu_time_millis: 130, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7917, kappa: 0.5337, kb_relative_information_score: 5024.2098, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7921, predictive_accuracy: 0.796, prior_entropy: 0.9315, recall: 0.796, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7925, scimark_benchmark: 1337.9552, usercpu_time_millis: 3060, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 2810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7823, kappa: 0.5158, kb_relative_information_score: 5375.2058, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7813, predictive_accuracy: 0.7843, prior_entropy: 0.9315, recall: 0.7843, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8266, scimark_benchmark: 1354.5533, usercpu_time_millis: 10270, usercpu_time_millis_testing: 2360, usercpu_time_millis_training: 7910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7784, kappa: 0.5039, kb_relative_information_score: 4574.7178, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7784, predictive_accuracy: 0.783, prior_entropy: 0.9315, recall: 0.783, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4022, root_relative_squared_error: 0.8448, scimark_benchmark: 1345.6844, usercpu_time_millis: 430, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7224, kappa: 0.3775, kb_relative_information_score: 1183.7917, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7211, predictive_accuracy: 0.7291, prior_entropy: 0.9315, recall: 0.7291, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9203, scimark_benchmark: 1345.6844, usercpu_time_millis: 2930, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7817, kappa: 0.5092, kb_relative_information_score: 6676.4102, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7845, predictive_accuracy: 0.7886, prior_entropy: 0.9315, recall: 0.7886, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9658, scimark_benchmark: 1337.1928, usercpu_time_millis: 426280, usercpu_time_millis_testing: 191870, usercpu_time_millis_training: 234410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1346.4374, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1333.0982, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.7917, kappa: 0.5337, kb_relative_information_score: 5024.2098, mean_absolute_error: 0.2854, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7921, predictive_accuracy: 0.796, prior_entropy: 0.9315, recall: 0.796, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7925, scimark_benchmark: 1337.3324, usercpu_time_millis: 1840, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1317.6232, usercpu_time_millis: 120, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8012, kappa: 0.5561, kb_relative_information_score: 5472.2081, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.8009, predictive_accuracy: 0.8042, prior_entropy: 0.9315, recall: 0.8042, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7833, scimark_benchmark: 1323.5075, usercpu_time_millis: 9180, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 8920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7191, kappa: 0.3671, kb_relative_information_score: 2685.0461, mean_absolute_error: 0.365, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7203, predictive_accuracy: 0.7299, prior_entropy: 0.9315, recall: 0.7299, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8925, scimark_benchmark: 1337.4384, usercpu_time_millis: 17380, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 17350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7817, kappa: 0.5092, kb_relative_information_score: 6676.4102, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7845, predictive_accuracy: 0.7886, prior_entropy: 0.9315, recall: 0.7886, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9658, scimark_benchmark: 1345.9182, usercpu_time_millis: 657240, usercpu_time_millis_testing: 286000, usercpu_time_millis_training: 371240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7817, kappa: 0.5092, kb_relative_information_score: 6676.4102, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7845, predictive_accuracy: 0.7886, prior_entropy: 0.9315, recall: 0.7886, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9658, scimark_benchmark: 1333.9912, usercpu_time_millis: 611780, usercpu_time_millis_testing: 198010, usercpu_time_millis_training: 413770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1343.7262, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1345.0202, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.7817, kappa: 0.5092, kb_relative_information_score: 6676.4102, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7845, predictive_accuracy: 0.7886, prior_entropy: 0.9315, recall: 0.7886, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9658, scimark_benchmark: 1286.0816, usercpu_time_millis: 509590, usercpu_time_millis_testing: 165500, usercpu_time_millis_training: 344090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7364, kappa: 0.4067, kb_relative_information_score: 3303.0784, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4533, number_of_instances: 12990, precision: 0.7379, predictive_accuracy: 0.7457, prior_entropy: 0.9315, recall: 0.7457, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4761, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8711, scimark_benchmark: 1337.797, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,

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