Task
Supervised Classification on nursery

Supervised Classification on nursery

Task 1906 Supervised Classification nursery 170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9709, kappa: 0.9579, kb_relative_information_score: 123189.9473, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9707, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2557, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9067, kappa: 0.8789, kb_relative_information_score: 103274.9191, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.8958, predictive_accuracy: 0.9182, prior_entropy: 1.7176, recall: 0.9182, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4508, scimark_benchmark: 851.2074, usercpu_time_millis: 2710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.974, kappa: 0.9641, kb_relative_information_score: 122640.0006, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9757, predictive_accuracy: 0.9756, prior_entropy: 1.7176, recall: 0.9756, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.2671, scimark_benchmark: 916.0735, usercpu_time_millis: 19260, usercpu_time_millis_testing: 8710, usercpu_time_millis_training: 10550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 941.6675, usercpu_time_millis: 130, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9724, kappa: 0.9604, kb_relative_information_score: 121900.1188, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9722, predictive_accuracy: 0.973, prior_entropy: 1.7176, recall: 0.973, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.2471, scimark_benchmark: 941.6675, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9903, kappa: 0.9859, kb_relative_information_score: 120057.728, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9902, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.233, scimark_benchmark: 931.771, usercpu_time_millis: 1330, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.974, kappa: 0.9641, kb_relative_information_score: 122640.0006, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9757, predictive_accuracy: 0.9756, prior_entropy: 1.7176, recall: 0.9756, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.2671, scimark_benchmark: 937.5117, usercpu_time_millis: 25320, usercpu_time_millis_testing: 9350, usercpu_time_millis_training: 15970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8941, kappa: 0.8563, kb_relative_information_score: 101603.8463, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9051, predictive_accuracy: 0.903, prior_entropy: 1.7176, recall: 0.903, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.4781, scimark_benchmark: 974.2014, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 974.2014, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 974.2014, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.974, kappa: 0.9627, kb_relative_information_score: 120257.3189, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9742, predictive_accuracy: 0.9746, prior_entropy: 1.7176, recall: 0.9746, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.2709, scimark_benchmark: 938.5498, usercpu_time_millis: 3610, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 3490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9903, kappa: 0.9859, kb_relative_information_score: 120057.728, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9902, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.233, scimark_benchmark: 943.1009, usercpu_time_millis: 1320, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9709, kappa: 0.9579, kb_relative_information_score: 123189.9473, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9707, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2557, scimark_benchmark: 819.5729, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9067, kappa: 0.8789, kb_relative_information_score: 103274.9191, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.8958, predictive_accuracy: 0.9182, prior_entropy: 1.7176, recall: 0.9182, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4508, scimark_benchmark: 608.4057, usercpu_time_millis: 4590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8941, kappa: 0.8563, kb_relative_information_score: 101603.8463, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9051, predictive_accuracy: 0.903, prior_entropy: 1.7176, recall: 0.903, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.4781, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 938.1282, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 941.4991, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9724, kappa: 0.9604, kb_relative_information_score: 121900.1188, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9722, predictive_accuracy: 0.973, prior_entropy: 1.7176, recall: 0.973, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.2471, scimark_benchmark: 933.3455, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 936.9595, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.974, kappa: 0.9627, kb_relative_information_score: 120257.3189, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9742, predictive_accuracy: 0.9746, prior_entropy: 1.7176, recall: 0.9746, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1001, root_relative_squared_error: 0.2709, scimark_benchmark: 1051.249, usercpu_time_millis: 6570, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 6200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9903, kappa: 0.9859, kb_relative_information_score: 120057.728, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9902, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.233, scimark_benchmark: 936.9595, usercpu_time_millis: 1430, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9991, kb_relative_information_score: 119305.3822, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9992, predictive_accuracy: 0.9994, prior_entropy: 1.7176, recall: 0.9994, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1495, scimark_benchmark: 919.9068, usercpu_time_millis: 207250, usercpu_time_millis_testing: 60230, usercpu_time_millis_training: 147020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.999, kb_relative_information_score: 119710.5467, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9992, predictive_accuracy: 0.9993, prior_entropy: 1.7176, recall: 0.9993, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0542, root_relative_squared_error: 0.1467, scimark_benchmark: 859.5223, usercpu_time_millis: 56270, usercpu_time_millis_testing: 9250, usercpu_time_millis_training: 47020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 118874.0182, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9991, predictive_accuracy: 0.9992, prior_entropy: 1.7176, recall: 0.9992, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1601, scimark_benchmark: 896.2424, usercpu_time_millis: 35830, usercpu_time_millis_testing: 4860, usercpu_time_millis_training: 30970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9987, kb_relative_information_score: 118948.5685, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9989, predictive_accuracy: 0.9991, prior_entropy: 1.7176, recall: 0.9991, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1646, scimark_benchmark: 945.5968, usercpu_time_millis: 14510, usercpu_time_millis_testing: 1950, usercpu_time_millis_training: 12560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9983, kb_relative_information_score: 120613.9832, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9987, predictive_accuracy: 0.9989, prior_entropy: 1.7176, recall: 0.9989, relative_absolute_error: 0.1098, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1633, scimark_benchmark: 935.6052, usercpu_time_millis: 10000, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 8940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8966, kappa: 0.8571, kb_relative_information_score: 103800.1638, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.8983, predictive_accuracy: 0.9033, prior_entropy: 1.7176, recall: 0.9033, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.4676, scimark_benchmark: 929.0296, usercpu_time_millis: 450, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 40838.203, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7813, scimark_benchmark: 938.3115, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 40838.203, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.755, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.7813, scimark_benchmark: 938.3115, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 65286.8595, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5116, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.7665, scimark_benchmark: 938.3115, usercpu_time_millis: 520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5323, kappa: 0.4791, kb_relative_information_score: 69399.296, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.4794, predictive_accuracy: 0.6454, prior_entropy: 1.7176, recall: 0.6454, relative_absolute_error: 0.5153, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.7277, scimark_benchmark: 938.3115, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.5509, kappa: 0.4959, kb_relative_information_score: 64620.417, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.4959, predictive_accuracy: 0.6625, prior_entropy: 1.7176, recall: 0.6625, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.8115, scimark_benchmark: 935.6052, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: 12793.7903, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.7176, recall: 0.3333, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.3977, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.975, kappa: 0.9641, kb_relative_information_score: 58228.4379, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.975, predictive_accuracy: 0.9755, prior_entropy: 1.7176, recall: 0.9755, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.6541, scimark_benchmark: 943.4741, usercpu_time_millis: 5000, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4910,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9071, kappa: 0.8761, kb_relative_information_score: 109879.3984, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9139, predictive_accuracy: 0.9163, prior_entropy: 1.7176, recall: 0.9163, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.183, root_relative_squared_error: 0.4952, scimark_benchmark: 1319.688, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9654, kappa: 0.9494, kb_relative_information_score: 122895.5233, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 1.7176, recall: 0.9654, relative_absolute_error: 0.0557, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2946, scimark_benchmark: 1318.6467, usercpu_time_millis: 4550, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 3910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9067, kappa: 0.8789, kb_relative_information_score: 103274.9191, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.8958, predictive_accuracy: 0.9182, prior_entropy: 1.7176, recall: 0.9182, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.4508, scimark_benchmark: 1345.7919, usercpu_time_millis: 2220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 1375.1578, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 1396.1629, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9724, kappa: 0.9604, kb_relative_information_score: 121900.1188, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9722, predictive_accuracy: 0.973, prior_entropy: 1.7176, recall: 0.973, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.2471, scimark_benchmark: 1338.6409, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 1345.0202, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9709, kappa: 0.9579, kb_relative_information_score: 123189.9473, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9707, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2557, scimark_benchmark: 1308.6872, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.971, kappa: 0.958, kb_relative_information_score: 123196.6697, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9708, predictive_accuracy: 0.9714, prior_entropy: 1.7176, recall: 0.9714, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.2555, scimark_benchmark: 1299.6719, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 1352.3373, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 1260.1387, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9903, kappa: 0.9859, kb_relative_information_score: 120057.728, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9902, predictive_accuracy: 0.9904, prior_entropy: 1.7176, recall: 0.9904, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0861, root_relative_squared_error: 0.233, scimark_benchmark: 1326.8946, usercpu_time_millis: 1370, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9709, kappa: 0.9579, kb_relative_information_score: 123189.9473, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9707, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2557, scimark_benchmark: 1320.9387, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8941, kappa: 0.8563, kb_relative_information_score: 101603.8463, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9051, predictive_accuracy: 0.903, prior_entropy: 1.7176, recall: 0.903, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.4781, scimark_benchmark: 935.5075, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9724, kappa: 0.9604, kb_relative_information_score: 121900.1188, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9722, predictive_accuracy: 0.973, prior_entropy: 1.7176, recall: 0.973, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.2471, scimark_benchmark: 1352.1128, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 1345.7204, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8941, kappa: 0.8563, kb_relative_information_score: 101603.8463, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9051, predictive_accuracy: 0.903, prior_entropy: 1.7176, recall: 0.903, relative_absolute_error: 0.2795, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.4781, scimark_benchmark: 1342.6911, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9188, kappa: 0.8917, kb_relative_information_score: 105978.3373, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9284, predictive_accuracy: 0.9269, prior_entropy: 1.7176, recall: 0.9269, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.4261, scimark_benchmark: 1343.4596, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9406, kappa: 0.9225, kb_relative_information_score: 109619.3951, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9485, predictive_accuracy: 0.9476, prior_entropy: 1.7176, recall: 0.9476, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.3804, scimark_benchmark: 944.0517, usercpu_time_millis: 170, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9763, kappa: 0.966, kb_relative_information_score: 122126.688, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9762, predictive_accuracy: 0.9768, prior_entropy: 1.7176, recall: 0.9768, relative_absolute_error: 0.0766, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.2373, scimark_benchmark: 892.0148, usercpu_time_millis: 2320, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.903, kappa: 0.8732, kb_relative_information_score: 61440.7122, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.8921, predictive_accuracy: 0.9144, prior_entropy: 1.7176, recall: 0.9144, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.6805, scimark_benchmark: 1333.8751, usercpu_time_millis: 3480, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 2570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.901, kappa: 0.8701, kb_relative_information_score: 62104.7398, mean_absolute_error: 0.1757, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.8902, predictive_accuracy: 0.9123, prior_entropy: 1.7176, recall: 0.9123, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.25, root_relative_squared_error: 0.6768, scimark_benchmark: 1345.7582, usercpu_time_millis: 1950, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9938, kappa: 0.9909, kb_relative_information_score: 128445.909, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7176, recall: 0.9938, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.1144, scimark_benchmark: 833.3193, usercpu_time_millis: 4020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9898, kappa: 0.985, kb_relative_information_score: 127057.3564, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 1.7176, recall: 0.9898, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.1725, scimark_benchmark: 1358.4523, usercpu_time_millis: 23370, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 23340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.974, kappa: 0.9641, kb_relative_information_score: 122640.0006, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9757, predictive_accuracy: 0.9756, prior_entropy: 1.7176, recall: 0.9756, relative_absolute_error: 0.0357, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.2671, scimark_benchmark: 939.5088, usercpu_time_millis: 23220, usercpu_time_millis_testing: 9040, usercpu_time_millis_training: 14180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9709, kappa: 0.9579, kb_relative_information_score: 123189.9473, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9707, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2557, scimark_benchmark: 1151.3336, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9696, kappa: 0.9567, kb_relative_information_score: 124494.8724, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9703, predictive_accuracy: 0.9705, prior_entropy: 1.7176, recall: 0.9705, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.219, scimark_benchmark: 1337.6765, usercpu_time_millis: 410920, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 410330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9249, kappa: 0.8901, kb_relative_information_score: 113184.2684, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9249, predictive_accuracy: 0.925, prior_entropy: 1.7176, recall: 0.925, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.3942, scimark_benchmark: 961.21, usercpu_time_millis: 4100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9709, kappa: 0.9579, kb_relative_information_score: 123189.9473, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.273, number_of_instances: 129600, precision: 0.9707, predictive_accuracy: 0.9713, prior_entropy: 1.7176, recall: 0.9713, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.3695, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.2557, scimark_benchmark: 1360.1753, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

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