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

Supervised Classification on BNG(tic-tac-toe)

Task 1856 Supervised Classification BNG(tic-tac-toe) 238 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.774, kappa: 0.4937, kb_relative_information_score: 68603.781, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7741, predictive_accuracy: 0.779, prior_entropy: 0.9315, recall: 0.779, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8524, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7204, kappa: 0.3705, kb_relative_information_score: 18285.1458, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7212, predictive_accuracy: 0.7306, prior_entropy: 0.9315, recall: 0.7306, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9202, scimark_benchmark: 972.587, usercpu_time_millis: 580, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7173, kappa: 0.3623, kb_relative_information_score: 41400.5439, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7202, predictive_accuracy: 0.73, prior_entropy: 0.9315, recall: 0.73, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8922, scimark_benchmark: 851.2074, usercpu_time_millis: 28180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 28130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7849, kappa: 0.5189, kb_relative_information_score: 74457.7207, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7847, predictive_accuracy: 0.7889, prior_entropy: 0.9315, recall: 0.7889, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8009, scimark_benchmark: 941.6675, usercpu_time_millis: 2830, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 2660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7761, kappa: 0.5017, kb_relative_information_score: 78880.1363, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7751, predictive_accuracy: 0.7785, prior_entropy: 0.9315, recall: 0.7785, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8413, scimark_benchmark: 931.771, usercpu_time_millis: 8870, usercpu_time_millis_testing: 2500, usercpu_time_millis_training: 6370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7781, kappa: 0.5012, kb_relative_information_score: 99617.7833, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7808, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9736, scimark_benchmark: 941.3847, usercpu_time_millis: 424560, usercpu_time_millis_testing: 154240, usercpu_time_millis_training: 270320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 974.2014, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7819, kappa: 0.5136, kb_relative_information_score: 89924.7045, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7811, predictive_accuracy: 0.7849, prior_entropy: 0.9315, recall: 0.7849, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.856, scimark_benchmark: 943.1009, usercpu_time_millis: 6800, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 6680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7761, kappa: 0.5017, kb_relative_information_score: 78880.1363, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7751, predictive_accuracy: 0.7785, prior_entropy: 0.9315, recall: 0.7785, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8413, scimark_benchmark: 943.1009, usercpu_time_millis: 9700, usercpu_time_millis_testing: 2980, usercpu_time_millis_training: 6720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.774, kappa: 0.4937, kb_relative_information_score: 68603.781, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7741, predictive_accuracy: 0.779, prior_entropy: 0.9315, recall: 0.779, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8524, scimark_benchmark: 819.5729, usercpu_time_millis: 310, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.7204, kappa: 0.3705, kb_relative_information_score: 18285.1458, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7212, predictive_accuracy: 0.7306, prior_entropy: 0.9315, recall: 0.7306, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9202, scimark_benchmark: 935.2002, usercpu_time_millis: 780, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7173, kappa: 0.3623, kb_relative_information_score: 41400.5439, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7202, predictive_accuracy: 0.73, prior_entropy: 0.9315, recall: 0.73, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8922, scimark_benchmark: 936.2574, usercpu_time_millis: 18050, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 18010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7781, kappa: 0.5012, kb_relative_information_score: 99617.7833, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7808, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9736, scimark_benchmark: 935.5664, usercpu_time_millis: 441090, usercpu_time_millis_testing: 166440, usercpu_time_millis_training: 274650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 938.1282, usercpu_time_millis: 170, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, 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: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 938.1282, usercpu_time_millis: 170, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 941.4991, usercpu_time_millis: 210, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7849, kappa: 0.5189, kb_relative_information_score: 74457.7207, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7847, predictive_accuracy: 0.7889, prior_entropy: 0.9315, recall: 0.7889, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8009, scimark_benchmark: 941.4991, usercpu_time_millis: 2580, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, 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: 0.832, f_measure: 0.7761, kappa: 0.5017, kb_relative_information_score: 78880.1363, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7751, predictive_accuracy: 0.7785, prior_entropy: 0.9315, recall: 0.7785, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8413, scimark_benchmark: 1051.249, usercpu_time_millis: 14110, usercpu_time_millis_testing: 5780, usercpu_time_millis_training: 8330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7942, kappa: 0.5385, kb_relative_information_score: 74875.0314, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7953, predictive_accuracy: 0.7991, prior_entropy: 0.9315, recall: 0.7991, relative_absolute_error: 0.6437, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.786, scimark_benchmark: 737.6064, usercpu_time_millis: 3138040, usercpu_time_millis_testing: 199310, usercpu_time_millis_training: 2938730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7939, kappa: 0.538, kb_relative_information_score: 74777.9283, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7951, predictive_accuracy: 0.7989, prior_entropy: 0.9315, recall: 0.7989, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7865, scimark_benchmark: 934.695, usercpu_time_millis: 850280, usercpu_time_millis_testing: 36660, usercpu_time_millis_training: 813620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.794, kappa: 0.5384, kb_relative_information_score: 74968.2689, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.795, predictive_accuracy: 0.7988, prior_entropy: 0.9315, recall: 0.7988, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7866, scimark_benchmark: 928.7131, usercpu_time_millis: 508540, usercpu_time_millis_testing: 15720, usercpu_time_millis_training: 492820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.793, kappa: 0.536, kb_relative_information_score: 74851.9128, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.794, predictive_accuracy: 0.7978, prior_entropy: 0.9315, recall: 0.7978, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7884, scimark_benchmark: 896.2181, usercpu_time_millis: 228520, usercpu_time_millis_testing: 6450, usercpu_time_millis_training: 222070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7915, kappa: 0.5328, kb_relative_information_score: 74684.0428, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7924, predictive_accuracy: 0.7963, prior_entropy: 0.9315, recall: 0.7963, relative_absolute_error: 0.6432, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7915, scimark_benchmark: 894.7131, usercpu_time_millis: 142630, usercpu_time_millis_testing: 3060, usercpu_time_millis_training: 139570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 38097.7694, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9055, scimark_benchmark: 929.0296, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 38097.7694, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9055, scimark_benchmark: 926.5859, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 38097.7694, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9055, scimark_benchmark: 894.7131, usercpu_time_millis: 200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 38097.7694, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9055, scimark_benchmark: 929.0296, usercpu_time_millis: 220, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.7012, kappa: 0.3245, kb_relative_information_score: 38097.7694, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7107, predictive_accuracy: 0.7212, prior_entropy: 0.9315, recall: 0.7212, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9055, scimark_benchmark: 894.7131, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.7071, kappa: 0.339, kb_relative_information_score: 38495.5451, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7097, predictive_accuracy: 0.7208, prior_entropy: 0.9315, recall: 0.7208, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9083, scimark_benchmark: 936.1714, usercpu_time_millis: 520, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 460,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7781, kappa: 0.5012, kb_relative_information_score: 99617.7833, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7808, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9736, scimark_benchmark: 1313.8988, usercpu_time_millis: 453390, usercpu_time_millis_testing: 154380, usercpu_time_millis_training: 299010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 1324.7884, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 1362.9924, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 1349.1517, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.774, kappa: 0.4937, kb_relative_information_score: 68603.781, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7741, predictive_accuracy: 0.779, prior_entropy: 0.9315, recall: 0.779, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8524, scimark_benchmark: 1322.3407, usercpu_time_millis: 440, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7781, kappa: 0.5012, kb_relative_information_score: 99617.7833, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7808, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9736, scimark_benchmark: 1325.8468, usercpu_time_millis: 527300, usercpu_time_millis_testing: 203590, usercpu_time_millis_training: 323710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7076, kappa: 0.3431, kb_relative_information_score: 41512.7811, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7065, predictive_accuracy: 0.7164, prior_entropy: 0.9315, recall: 0.7164, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9119, scimark_benchmark: 1333.202, usercpu_time_millis: 100, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 930.5999, usercpu_time_millis: 150, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.774, kappa: 0.4937, kb_relative_information_score: 68603.781, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7741, predictive_accuracy: 0.779, prior_entropy: 0.9315, recall: 0.779, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8524, scimark_benchmark: 1340.5125, usercpu_time_millis: 290, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7781, kappa: 0.5012, kb_relative_information_score: 99617.7833, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7808, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9736, scimark_benchmark: 1338.5214, usercpu_time_millis: 417730, usercpu_time_millis_testing: 156620, usercpu_time_millis_training: 261110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7076, kappa: 0.3431, kb_relative_information_score: 41512.7811, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7065, predictive_accuracy: 0.7164, prior_entropy: 0.9315, recall: 0.7164, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9119, scimark_benchmark: 1338.5214, usercpu_time_millis: 90, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7849, kappa: 0.5189, kb_relative_information_score: 74457.7207, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7847, predictive_accuracy: 0.7889, prior_entropy: 0.9315, recall: 0.7889, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8009, scimark_benchmark: 1324.6442, usercpu_time_millis: 2090, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7761, kappa: 0.5017, kb_relative_information_score: 78880.1363, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7751, predictive_accuracy: 0.7785, prior_entropy: 0.9315, recall: 0.7785, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8413, scimark_benchmark: 1310.6554, usercpu_time_millis: 10100, usercpu_time_millis_testing: 4170, usercpu_time_millis_training: 5930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.774, kappa: 0.4937, kb_relative_information_score: 68603.781, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7741, predictive_accuracy: 0.779, prior_entropy: 0.9315, recall: 0.779, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8524, scimark_benchmark: 1310.3168, usercpu_time_millis: 320, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7781, kappa: 0.5012, kb_relative_information_score: 99617.7833, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7808, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9736, scimark_benchmark: 1347.1763, usercpu_time_millis: 415900, usercpu_time_millis_testing: 162260, usercpu_time_millis_training: 253640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7781, kappa: 0.5012, kb_relative_information_score: 99617.7833, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7808, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9736, scimark_benchmark: 1329.8008, usercpu_time_millis: 386540, usercpu_time_millis_testing: 166520, usercpu_time_millis_training: 220020,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.7173, kappa: 0.3623, kb_relative_information_score: 41400.5439, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7202, predictive_accuracy: 0.73, prior_entropy: 0.9315, recall: 0.73, relative_absolute_error: 0.8012, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8922, scimark_benchmark: 1345.6844, usercpu_time_millis: 15360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 15330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7781, kappa: 0.5012, kb_relative_information_score: 99617.7833, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7808, predictive_accuracy: 0.7852, prior_entropy: 0.9315, recall: 0.7852, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9736, scimark_benchmark: 1307.9497, usercpu_time_millis: 634260, usercpu_time_millis_testing: 300110, usercpu_time_millis_training: 334150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7076, kappa: 0.3431, kb_relative_information_score: 41512.7811, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7065, predictive_accuracy: 0.7164, prior_entropy: 0.9315, recall: 0.7164, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9119, scimark_benchmark: 1325.4787, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 1374.9737, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7849, kappa: 0.5189, kb_relative_information_score: 74457.7207, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7847, predictive_accuracy: 0.7889, prior_entropy: 0.9315, recall: 0.7889, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.8009, scimark_benchmark: 1317.5857, usercpu_time_millis: 1780, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.734, kappa: 0.4014, kb_relative_information_score: 49603.4788, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7352, predictive_accuracy: 0.7433, prior_entropy: 0.9315, recall: 0.7433, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.874, scimark_benchmark: 1332.9478, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7819, kappa: 0.5136, kb_relative_information_score: 89924.7045, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7811, predictive_accuracy: 0.7849, prior_entropy: 0.9315, recall: 0.7849, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.856, scimark_benchmark: 1306.8702, usercpu_time_millis: 7450, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 7210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7761, kappa: 0.5017, kb_relative_information_score: 78880.1363, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4532, number_of_instances: 196830, precision: 0.7751, predictive_accuracy: 0.7785, prior_entropy: 0.9315, recall: 0.7785, relative_absolute_error: 0.5973, root_mean_prior_squared_error: 0.476, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8413, scimark_benchmark: 1367.3264, usercpu_time_millis: 8430, usercpu_time_millis_testing: 2540, usercpu_time_millis_training: 5890,

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