Task
Supervised Classification on bank8FM

Supervised Classification on bank8FM

Task 4296 Supervised Classification bank8FM 219 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9243, kappa: 0.8423, kb_relative_information_score: 64491.077, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9245, predictive_accuracy: 0.9245, prior_entropy: 0.9731, recall: 0.9245, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.4829, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9064, kappa: 0.8051, kb_relative_information_score: 54317.8011, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9064, predictive_accuracy: 0.9066, prior_entropy: 0.9731, recall: 0.9066, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.261, root_relative_squared_error: 0.532, scimark_benchmark: 972.587, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9198, kappa: 0.8328, kb_relative_information_score: 61316.7351, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.9731, recall: 0.92, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.492, scimark_benchmark: 934.3687, usercpu_time_millis: 1120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9425, kappa: 0.8805, kb_relative_information_score: 71997.5982, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.9731, recall: 0.9426, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4881, scimark_benchmark: 931.771, usercpu_time_millis: 6570, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 4770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9425, kappa: 0.8805, kb_relative_information_score: 71997.5982, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.9731, recall: 0.9426, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4881, scimark_benchmark: 944.1067, usercpu_time_millis: 6330, usercpu_time_millis_testing: 1690, usercpu_time_millis_training: 4640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 938.191, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9386, kappa: 0.8722, kb_relative_information_score: 67369.6517, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9731, recall: 0.9386, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4306, scimark_benchmark: 938.191, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9458, kappa: 0.8872, kb_relative_information_score: 69355.3406, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9457, predictive_accuracy: 0.9458, prior_entropy: 0.9731, recall: 0.9458, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3945, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9216, kappa: 0.8365, kb_relative_information_score: 58965.7075, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9222, predictive_accuracy: 0.922, prior_entropy: 0.9731, recall: 0.922, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5071, scimark_benchmark: 927.2917, usercpu_time_millis: 320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9425, kappa: 0.8805, kb_relative_information_score: 71997.5982, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.9731, recall: 0.9426, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4881, scimark_benchmark: 932.438, usercpu_time_millis: 3360, usercpu_time_millis_testing: 1500, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9425, kappa: 0.8805, kb_relative_information_score: 71997.5982, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.9731, recall: 0.9426, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4881, scimark_benchmark: 941.3847, usercpu_time_millis: 6760, usercpu_time_millis_testing: 1640, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 974.2014, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9414, kappa: 0.8782, kb_relative_information_score: 67597.0556, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 0.9731, recall: 0.9415, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4161, scimark_benchmark: 937.5117, usercpu_time_millis: 3580, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 3210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9243, kappa: 0.8423, kb_relative_information_score: 64491.077, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9245, predictive_accuracy: 0.9245, prior_entropy: 0.9731, recall: 0.9245, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.4829, scimark_benchmark: 942.2392, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9064, kappa: 0.8051, kb_relative_information_score: 54317.8011, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9064, predictive_accuracy: 0.9066, prior_entropy: 0.9731, recall: 0.9066, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.261, root_relative_squared_error: 0.532, scimark_benchmark: 908.9569, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9198, kappa: 0.8328, kb_relative_information_score: 61316.7351, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.9731, recall: 0.92, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.492, scimark_benchmark: 938.1282, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9425, kappa: 0.8805, kb_relative_information_score: 71997.5982, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.9731, recall: 0.9426, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4881, scimark_benchmark: 927.2882, usercpu_time_millis: 6470, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9458, kappa: 0.8872, kb_relative_information_score: 69355.3406, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9457, predictive_accuracy: 0.9458, prior_entropy: 0.9731, recall: 0.9458, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3945, scimark_benchmark: 943.6618, usercpu_time_millis: 1385900, usercpu_time_millis_testing: 8090, usercpu_time_millis_training: 1377810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9425, kappa: 0.8805, kb_relative_information_score: 71997.5982, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.9731, recall: 0.9426, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4881, scimark_benchmark: 859.5223, usercpu_time_millis: 6580, usercpu_time_millis_testing: 1650, usercpu_time_millis_training: 4930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 941.4991, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9386, kappa: 0.8722, kb_relative_information_score: 67369.6517, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9731, recall: 0.9386, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4306, scimark_benchmark: 930.404, usercpu_time_millis: 410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 945.6228, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9216, kappa: 0.8365, kb_relative_information_score: 58965.7075, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9222, predictive_accuracy: 0.922, prior_entropy: 0.9731, recall: 0.922, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5071, scimark_benchmark: 932.438, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9414, kappa: 0.8782, kb_relative_information_score: 67597.0556, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 0.9731, recall: 0.9415, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4161, scimark_benchmark: 901.4991, usercpu_time_millis: 3750, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 3220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9439, kappa: 0.8833, kb_relative_information_score: 65574.6305, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9439, predictive_accuracy: 0.9439, prior_entropy: 0.9731, recall: 0.9439, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4139, scimark_benchmark: 851.2074, usercpu_time_millis: 82710, usercpu_time_millis_testing: 24740, usercpu_time_millis_training: 57970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9435, kappa: 0.8824, kb_relative_information_score: 65645.5802, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9434, predictive_accuracy: 0.9435, prior_entropy: 0.9731, recall: 0.9435, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.4145, scimark_benchmark: 904.5548, usercpu_time_millis: 28870, usercpu_time_millis_testing: 3290, usercpu_time_millis_training: 25580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9431, kappa: 0.8816, kb_relative_information_score: 65632.8285, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9431, predictive_accuracy: 0.9431, prior_entropy: 0.9731, recall: 0.9431, relative_absolute_error: 0.2171, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.417, scimark_benchmark: 929.7512, usercpu_time_millis: 16000, usercpu_time_millis_testing: 1640, usercpu_time_millis_training: 14360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9416, kappa: 0.8787, kb_relative_information_score: 65539.0419, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9416, predictive_accuracy: 0.9417, prior_entropy: 0.9731, recall: 0.9417, relative_absolute_error: 0.2176, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.422, scimark_benchmark: 906.8974, usercpu_time_millis: 7360, usercpu_time_millis_testing: 820, usercpu_time_millis_training: 6540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9393, kappa: 0.8737, kb_relative_information_score: 65628.4297, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9731, recall: 0.9393, relative_absolute_error: 0.2148, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4291, scimark_benchmark: 945.5968, usercpu_time_millis: 3460, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 3080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9358, kappa: 0.8664, kb_relative_information_score: 68170.3992, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9358, predictive_accuracy: 0.9359, prior_entropy: 0.9731, recall: 0.9359, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4403, scimark_benchmark: 941.9549, usercpu_time_millis: 960, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9358, kappa: 0.8664, kb_relative_information_score: 68170.3992, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9358, predictive_accuracy: 0.9359, prior_entropy: 0.9731, recall: 0.9359, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4403, scimark_benchmark: 930.0565, usercpu_time_millis: 990, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 960,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9297, kappa: 0.8537, kb_relative_information_score: 66551.0266, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9298, predictive_accuracy: 0.9299, prior_entropy: 0.9731, recall: 0.9299, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4575, scimark_benchmark: 936.1714, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9458, kappa: 0.8872, kb_relative_information_score: 69355.3406, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9457, predictive_accuracy: 0.9458, prior_entropy: 0.9731, recall: 0.9458, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3945, scimark_benchmark: 1278.9821, usercpu_time_millis: 486760, usercpu_time_millis_testing: 8620, usercpu_time_millis_training: 478140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1362.9924, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1362.9924, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9138, kappa: 0.8198, kb_relative_information_score: 53805.1935, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9158, predictive_accuracy: 0.9146, prior_entropy: 0.9731, recall: 0.9146, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5314, scimark_benchmark: 908.2231, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1286.2211, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9138, kappa: 0.8198, kb_relative_information_score: 53805.1935, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9158, predictive_accuracy: 0.9146, prior_entropy: 0.9731, recall: 0.9146, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5314, scimark_benchmark: 1340.9749, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 930.5999, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1333.202, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9138, kappa: 0.8198, kb_relative_information_score: 53805.1935, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9158, predictive_accuracy: 0.9146, prior_entropy: 0.9731, recall: 0.9146, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5314, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1309.0674, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9386, kappa: 0.8722, kb_relative_information_score: 67369.6517, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9386, predictive_accuracy: 0.9386, prior_entropy: 0.9731, recall: 0.9386, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4306, scimark_benchmark: 1324.6442, usercpu_time_millis: 500, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1322.3407, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9458, kappa: 0.8872, kb_relative_information_score: 69355.3406, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9457, predictive_accuracy: 0.9458, prior_entropy: 0.9731, recall: 0.9458, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.3945, scimark_benchmark: 1313.5633, usercpu_time_millis: 531020, usercpu_time_millis_testing: 9140, usercpu_time_millis_training: 521880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9243, kappa: 0.8423, kb_relative_information_score: 64491.077, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9245, predictive_accuracy: 0.9245, prior_entropy: 0.9731, recall: 0.9245, relative_absolute_error: 0.225, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.4829, scimark_benchmark: 1310.3168, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9425, kappa: 0.8805, kb_relative_information_score: 71997.5982, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.9731, recall: 0.9426, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4881, scimark_benchmark: 1317.071, usercpu_time_millis: 5180, usercpu_time_millis_testing: 1650, usercpu_time_millis_training: 3530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9138, kappa: 0.8198, kb_relative_information_score: 53805.1935, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9158, predictive_accuracy: 0.9146, prior_entropy: 0.9731, recall: 0.9146, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5314, scimark_benchmark: 1313.11, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1321.8321, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1319.4538, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1332.1612, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9064, kappa: 0.8051, kb_relative_information_score: 54317.8011, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9064, predictive_accuracy: 0.9066, prior_entropy: 0.9731, recall: 0.9066, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.261, root_relative_squared_error: 0.532, scimark_benchmark: 1350.7721, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9425, kappa: 0.8805, kb_relative_information_score: 71997.5982, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9426, predictive_accuracy: 0.9426, prior_entropy: 0.9731, recall: 0.9426, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.4881, scimark_benchmark: 1309.4708, usercpu_time_millis: 7390, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 5780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9138, kappa: 0.8198, kb_relative_information_score: 53805.1935, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9158, predictive_accuracy: 0.9146, prior_entropy: 0.9731, recall: 0.9146, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5314, scimark_benchmark: 1345.6844, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1321.8321, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1313.5633, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1309.2287, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9208, kappa: 0.8347, kb_relative_information_score: 56705.3349, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9221, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.3407, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.5065, scimark_benchmark: 1338.5214, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9216, kappa: 0.8365, kb_relative_information_score: 58965.7075, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9222, predictive_accuracy: 0.922, prior_entropy: 0.9731, recall: 0.922, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5071, scimark_benchmark: 1358.6198, usercpu_time_millis: 370, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9414, kappa: 0.8782, kb_relative_information_score: 67597.0556, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 0.9731, recall: 0.9415, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.4161, scimark_benchmark: 1336.5541, usercpu_time_millis: 3380, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 2960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9423, kappa: 0.8803, kb_relative_information_score: 70341.217, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4815, number_of_instances: 81920, precision: 0.9424, predictive_accuracy: 0.9422, prior_entropy: 0.9731, recall: 0.9422, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4381, scimark_benchmark: 1322.5413, usercpu_time_millis: 920, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 830,

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