Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 4609 Supervised Classification jm1 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7622, kappa: 0.1535, kb_relative_information_score: 3774.178, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.77, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.965, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7359, kappa: 0.0544, kb_relative_information_score: -44792.1486, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7583, predictive_accuracy: 0.8076, prior_entropy: 0.7088, recall: 0.8076, relative_absolute_error: 1.1547, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9995, scimark_benchmark: 972.587, usercpu_time_millis: 1740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.756, kappa: 0.13, kb_relative_information_score: 2500.5849, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7636, predictive_accuracy: 0.8085, prior_entropy: 0.7088, recall: 0.8085, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9477, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: 31062.9512, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7824, predictive_accuracy: 0.811, prior_entropy: 0.7088, recall: 0.811, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1005, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 941.6675, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 941.6675, usercpu_time_millis: 270, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 938.191, usercpu_time_millis: 220, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7756, kappa: 0.2075, kb_relative_information_score: 6473.1899, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7778, predictive_accuracy: 0.8132, prior_entropy: 0.7088, recall: 0.8132, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9379, scimark_benchmark: 941.6675, usercpu_time_millis: 3520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7587, kappa: 0.1389, kb_relative_information_score: 5564.2427, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7737, predictive_accuracy: 0.8122, prior_entropy: 0.7088, recall: 0.8122, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.9623, scimark_benchmark: 944.1067, usercpu_time_millis: 8420, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 8370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7869, kappa: 0.2532, kb_relative_information_score: 7583.4729, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7874, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9284, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: 31062.9512, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7824, predictive_accuracy: 0.811, prior_entropy: 0.7088, recall: 0.811, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1005, scimark_benchmark: 932.438, usercpu_time_millis: 142940, usercpu_time_millis_testing: 15790, usercpu_time_millis_training: 127150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: 31062.9512, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7824, predictive_accuracy: 0.811, prior_entropy: 0.7088, recall: 0.811, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1005, scimark_benchmark: 974.2014, usercpu_time_millis: 254640, usercpu_time_millis_testing: 49220, usercpu_time_millis_training: 205420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7869, kappa: 0.2532, kb_relative_information_score: 7583.4729, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7874, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9284, scimark_benchmark: 974.2014, usercpu_time_millis: 11840, usercpu_time_millis_testing: 2300, usercpu_time_millis_training: 9540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7622, kappa: 0.1535, kb_relative_information_score: 3774.178, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.77, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.965, scimark_benchmark: 942.2392, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7359, kappa: 0.0544, kb_relative_information_score: -44792.1486, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7583, predictive_accuracy: 0.8076, prior_entropy: 0.7088, recall: 0.8076, relative_absolute_error: 1.1547, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9995, scimark_benchmark: 901.6243, usercpu_time_millis: 1210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.756, kappa: 0.13, kb_relative_information_score: 2500.5849, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7636, predictive_accuracy: 0.8085, prior_entropy: 0.7088, recall: 0.8085, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9477, scimark_benchmark: 938.1282, usercpu_time_millis: 3280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: 31062.9512, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7824, predictive_accuracy: 0.811, prior_entropy: 0.7088, recall: 0.811, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1005, scimark_benchmark: 936.9595, usercpu_time_millis: 91170, usercpu_time_millis_testing: 19200, usercpu_time_millis_training: 71970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: 31062.9512, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7824, predictive_accuracy: 0.811, prior_entropy: 0.7088, recall: 0.811, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1005, scimark_benchmark: 932.438, usercpu_time_millis: 96750, usercpu_time_millis_testing: 13230, usercpu_time_millis_training: 83520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 930.404, usercpu_time_millis: 270, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7756, kappa: 0.2075, kb_relative_information_score: 6473.1899, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7778, predictive_accuracy: 0.8132, prior_entropy: 0.7088, recall: 0.8132, relative_absolute_error: 0.8461, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9379, scimark_benchmark: 930.404, usercpu_time_millis: 2360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 945.6228, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7869, kappa: 0.2532, kb_relative_information_score: 7583.4729, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7874, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9284, scimark_benchmark: 917.5013, usercpu_time_millis: 11170, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 10240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7559, kappa: 0.127, kb_relative_information_score: 5550.6198, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7881, predictive_accuracy: 0.8155, prior_entropy: 0.7088, recall: 0.8155, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9348, scimark_benchmark: 938.4601, usercpu_time_millis: 183030, usercpu_time_millis_testing: 50970, usercpu_time_millis_training: 132060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.7553, kappa: 0.1249, kb_relative_information_score: 5472.8748, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7867, predictive_accuracy: 0.8151, prior_entropy: 0.7088, recall: 0.8151, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9352, scimark_benchmark: 819.5729, usercpu_time_millis: 120010, usercpu_time_millis_testing: 31090, usercpu_time_millis_training: 88920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.7562, kappa: 0.1282, kb_relative_information_score: 5535.194, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7873, predictive_accuracy: 0.8154, prior_entropy: 0.7088, recall: 0.8154, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9351, scimark_benchmark: 934.7923, usercpu_time_millis: 32600, usercpu_time_millis_testing: 4500, usercpu_time_millis_training: 28100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.757, kappa: 0.131, kb_relative_information_score: 5305.8727, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.786, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9363, scimark_benchmark: 901.5805, usercpu_time_millis: 17210, usercpu_time_millis_testing: 2170, usercpu_time_millis_training: 15040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7307, f_measure: 0.7585, kappa: 0.137, kb_relative_information_score: 5093.3489, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7849, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9384, scimark_benchmark: 918.0831, usercpu_time_millis: 8030, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 6930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7466, kappa: 0.0955, kb_relative_information_score: -1295.0572, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7485, predictive_accuracy: 0.8036, prior_entropy: 0.7088, recall: 0.8036, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9565, scimark_benchmark: 926.5859, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7466, kappa: 0.0955, kb_relative_information_score: -1295.0572, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7485, predictive_accuracy: 0.8036, prior_entropy: 0.7088, recall: 0.8036, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9565, scimark_benchmark: 938.3115, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7466, kappa: 0.0955, kb_relative_information_score: -1295.0572, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7485, predictive_accuracy: 0.8036, prior_entropy: 0.7088, recall: 0.8036, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9565, scimark_benchmark: 926.5859, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7466, kappa: 0.0955, kb_relative_information_score: -1295.0572, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7485, predictive_accuracy: 0.8036, prior_entropy: 0.7088, recall: 0.8036, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9565, scimark_benchmark: 941.9549, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7466, kappa: 0.0955, kb_relative_information_score: -1295.0572, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7485, predictive_accuracy: 0.8036, prior_entropy: 0.7088, recall: 0.8036, relative_absolute_error: 0.9015, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9565, scimark_benchmark: 941.9549, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.751, kappa: 0.1113, kb_relative_information_score: 1991.1811, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.757, predictive_accuracy: 0.8064, prior_entropy: 0.7088, recall: 0.8064, relative_absolute_error: 0.9037, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.38, root_relative_squared_error: 0.962, scimark_benchmark: 929.0296, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.7245, kappa: 0.0149, kb_relative_information_score: 29373.8932, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.813, predictive_accuracy: 0.808, prior_entropy: 0.7088, recall: 0.808, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.421, root_relative_squared_error: 1.0658, scimark_benchmark: 929.0296, usercpu_time_millis: 9450, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 9390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7243, kappa: 0.0145, kb_relative_information_score: 28857.7077, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.8013, predictive_accuracy: 0.8079, prior_entropy: 0.7088, recall: 0.8079, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4127, root_relative_squared_error: 1.0448, scimark_benchmark: 929.0296, usercpu_time_millis: 4640, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.7201, kb_relative_information_score: 28721.0742, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4241, root_relative_squared_error: 1.0736, scimark_benchmark: 936.1714, usercpu_time_millis: 2170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1324.7884, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1325.8468, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7869, kappa: 0.2532, kb_relative_information_score: 7583.4729, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7874, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9284, scimark_benchmark: 1350.2591, usercpu_time_millis: 9240, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 7940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1319.4538, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1347.1763, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1319.4538, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1332.1612, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.7591, kappa: 0.1397, kb_relative_information_score: 5790.8502, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.777, predictive_accuracy: 0.8133, prior_entropy: 0.7088, recall: 0.8133, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9469, scimark_benchmark: 1307.9497, usercpu_time_millis: 177620, usercpu_time_millis_testing: 7440, usercpu_time_millis_training: 170180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1332.9478, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1338.5214, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7869, kappa: 0.2532, kb_relative_information_score: 7583.4729, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7874, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9284, scimark_benchmark: 1350.7721, usercpu_time_millis: 7530, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 6780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7359, kappa: 0.0544, kb_relative_information_score: -44792.1486, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7583, predictive_accuracy: 0.8076, prior_entropy: 0.7088, recall: 0.8076, relative_absolute_error: 1.1547, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9995, scimark_benchmark: 1310.3168, usercpu_time_millis: 940, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: 31062.9512, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7824, predictive_accuracy: 0.811, prior_entropy: 0.7088, recall: 0.811, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1005, scimark_benchmark: 1256.2802, usercpu_time_millis: 182890, usercpu_time_millis_testing: 37950, usercpu_time_millis_training: 144940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.756, kappa: 0.13, kb_relative_information_score: 2500.5849, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7636, predictive_accuracy: 0.8085, prior_entropy: 0.7088, recall: 0.8085, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9477, scimark_benchmark: 1322.806, usercpu_time_millis: 2740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: 31062.9512, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7824, predictive_accuracy: 0.811, prior_entropy: 0.7088, recall: 0.811, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1005, scimark_benchmark: 1309.4708, usercpu_time_millis: 187420, usercpu_time_millis_testing: 38990, usercpu_time_millis_training: 148430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7097, kappa: 0.2203, kb_relative_information_score: -23615.4097, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7688, predictive_accuracy: 0.6807, prior_entropy: 0.7088, recall: 0.6807, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.347, scimark_benchmark: 1325.3966, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1329.1398, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1303.9481, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7359, kappa: 0.0544, kb_relative_information_score: -44792.1486, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7583, predictive_accuracy: 0.8076, prior_entropy: 0.7088, recall: 0.8076, relative_absolute_error: 1.1547, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9995, scimark_benchmark: 1323.4116, usercpu_time_millis: 900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5216, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: 31062.9512, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7824, predictive_accuracy: 0.811, prior_entropy: 0.7088, recall: 0.811, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4347, root_relative_squared_error: 1.1005, scimark_benchmark: 1337.8124, usercpu_time_millis: 200950, usercpu_time_millis_testing: 37920, usercpu_time_millis_training: 163030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1359.7293, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7587, kappa: 0.1389, kb_relative_information_score: 5564.2427, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7737, predictive_accuracy: 0.8122, prior_entropy: 0.7088, recall: 0.8122, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.9623, scimark_benchmark: 1333.9912, usercpu_time_millis: 8110, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 7990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1362.9924, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7097, kappa: 0.2203, kb_relative_information_score: -23615.4097, mean_absolute_error: 0.3162, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7688, predictive_accuracy: 0.6807, prior_entropy: 0.7088, recall: 0.6807, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.347, scimark_benchmark: 1354.3488, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7587, kappa: 0.1389, kb_relative_information_score: 5564.2427, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7737, predictive_accuracy: 0.8122, prior_entropy: 0.7088, recall: 0.8122, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.9623, scimark_benchmark: 942.9708, usercpu_time_millis: 8770, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 8720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7869, kappa: 0.2532, kb_relative_information_score: 7583.4729, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7874, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9284, scimark_benchmark: 1281.7531, usercpu_time_millis: 12960, usercpu_time_millis_testing: 2990, usercpu_time_millis_training: 9970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7649, kappa: 0.164, kb_relative_information_score: 5354.7881, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7729, predictive_accuracy: 0.8118, prior_entropy: 0.7088, recall: 0.8118, relative_absolute_error: 0.8743, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9437, scimark_benchmark: 1326.8946, usercpu_time_millis: 6130, usercpu_time_millis_training: 6130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.772, kappa: 0.2044, kb_relative_information_score: 2757.2575, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7651, predictive_accuracy: 0.8022, prior_entropy: 0.7088, recall: 0.8022, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.9794, scimark_benchmark: 1341.5795, usercpu_time_millis: 160, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7715, kappa: 0.2046, kb_relative_information_score: 8677.3038, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 108850, precision: 0.7637, predictive_accuracy: 0.8003, prior_entropy: 0.7088, recall: 0.8003, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4003, root_relative_squared_error: 1.0134, scimark_benchmark: 1280.6338, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,

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