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Supervised Classification on fri_c4_1000_50

Supervised Classification on fri_c4_1000_50

Task 4367 Supervised Classification fri_c4_1000_50 212 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8564, kappa: 0.7089, kb_relative_information_score: 6147.3579, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8563, prior_entropy: 0.9896, recall: 0.8563, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8564, kappa: 0.7089, kb_relative_information_score: 7065.1981, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8563, prior_entropy: 0.9896, recall: 0.8563, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7637, usercpu_time_millis: 4.02, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 3.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8564, kappa: 0.7089, kb_relative_information_score: 7065.1981, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8563, prior_entropy: 0.9896, recall: 0.8563, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7637, usercpu_time_millis: 4.02, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 3.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8564, kappa: 0.7089, kb_relative_information_score: 6147.3579, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8563, prior_entropy: 0.9896, recall: 0.8563, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7001, usercpu_time_millis: 4.28, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 3.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8537, kappa: 0.7048, kb_relative_information_score: 6113.6836, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8532, prior_entropy: 0.9896, recall: 0.8532, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6853, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.851, kappa: 0.6979, kb_relative_information_score: 4759.7808, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8512, predictive_accuracy: 0.8509, prior_entropy: 0.9896, recall: 0.8509, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6931, scimark_benchmark: 972.587, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8496, kappa: 0.6947, kb_relative_information_score: 5828.3342, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8496, predictive_accuracy: 0.8496, prior_entropy: 0.9896, recall: 0.8496, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6724, scimark_benchmark: 934.3687, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6606, kappa: 0.3088, kb_relative_information_score: 3154.7312, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6622, predictive_accuracy: 0.6648, prior_entropy: 0.9896, recall: 0.6648, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1664, scimark_benchmark: 944.1067, usercpu_time_millis: 1970, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6606, kappa: 0.3088, kb_relative_information_score: 3154.7312, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6622, predictive_accuracy: 0.6648, prior_entropy: 0.9896, recall: 0.6648, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1664, scimark_benchmark: 916.0735, usercpu_time_millis: 2420, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 938.191, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8796, kappa: 0.7558, kb_relative_information_score: 6316.9921, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8797, predictive_accuracy: 0.8796, prior_entropy: 0.9896, recall: 0.8796, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6034, scimark_benchmark: 941.6675, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6249, kappa: 0.2372, kb_relative_information_score: 1900.6796, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6243, predictive_accuracy: 0.626, prior_entropy: 0.9896, recall: 0.626, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9953, scimark_benchmark: 941.6675, usercpu_time_millis: 17430, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 16790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8431, kappa: 0.6817, kb_relative_information_score: 6121.1758, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8431, predictive_accuracy: 0.8431, prior_entropy: 0.9896, recall: 0.8431, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7197, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6606, kappa: 0.3088, kb_relative_information_score: 3154.7312, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6622, predictive_accuracy: 0.6648, prior_entropy: 0.9896, recall: 0.6648, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1664, scimark_benchmark: 941.3847, usercpu_time_millis: 2130, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6606, kappa: 0.3088, kb_relative_information_score: 3154.7312, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6622, predictive_accuracy: 0.6648, prior_entropy: 0.9896, recall: 0.6648, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1664, scimark_benchmark: 941.3847, usercpu_time_millis: 1830, usercpu_time_millis_testing: 770, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 932.438, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, 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: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 947.1781, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8528, kappa: 0.7004, kb_relative_information_score: 3949.5488, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8541, predictive_accuracy: 0.8536, prior_entropy: 0.9896, recall: 0.8536, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7229, scimark_benchmark: 943.1009, usercpu_time_millis: 690, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8537, kappa: 0.7048, kb_relative_information_score: 6113.6836, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8532, prior_entropy: 0.9896, recall: 0.8532, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6853, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.851, kappa: 0.6979, kb_relative_information_score: 4759.7808, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8512, predictive_accuracy: 0.8509, prior_entropy: 0.9896, recall: 0.8509, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6931, scimark_benchmark: 908.9569, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8496, kappa: 0.6947, kb_relative_information_score: 5828.3342, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8496, predictive_accuracy: 0.8496, prior_entropy: 0.9896, recall: 0.8496, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6724, scimark_benchmark: 936.2574, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6606, kappa: 0.3088, kb_relative_information_score: 3154.7312, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6622, predictive_accuracy: 0.6648, prior_entropy: 0.9896, recall: 0.6648, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1664, scimark_benchmark: 927.2882, usercpu_time_millis: 2310, usercpu_time_millis_testing: 1150, usercpu_time_millis_training: 1160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6606, kappa: 0.3088, kb_relative_information_score: 3154.7312, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6622, predictive_accuracy: 0.6648, prior_entropy: 0.9896, recall: 0.6648, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1664, scimark_benchmark: 943.6618, usercpu_time_millis: 1860, usercpu_time_millis_testing: 870, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 930.404, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 930.404, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 903.2737, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 930.404, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8796, kappa: 0.7558, kb_relative_information_score: 6316.9921, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8797, predictive_accuracy: 0.8796, prior_entropy: 0.9896, recall: 0.8796, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6034, scimark_benchmark: 903.2737, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6249, kappa: 0.2372, kb_relative_information_score: 1900.6796, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6243, predictive_accuracy: 0.626, prior_entropy: 0.9896, recall: 0.626, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9953, scimark_benchmark: 905.2959, usercpu_time_millis: 12290, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 11860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8431, kappa: 0.6817, kb_relative_information_score: 6121.1758, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8431, predictive_accuracy: 0.8431, prior_entropy: 0.9896, recall: 0.8431, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7197, scimark_benchmark: 730.6551, usercpu_time_millis: 1680, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8528, kappa: 0.7004, kb_relative_information_score: 3949.5488, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8541, predictive_accuracy: 0.8536, prior_entropy: 0.9896, recall: 0.8536, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7229, scimark_benchmark: 901.4991, usercpu_time_millis: 670, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.851, kappa: 0.6969, kb_relative_information_score: 3653.9239, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8517, predictive_accuracy: 0.8516, prior_entropy: 0.9896, recall: 0.8516, relative_absolute_error: 0.6844, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7465, scimark_benchmark: 1171.0303, usercpu_time_millis: 45760, usercpu_time_millis_testing: 17820, usercpu_time_millis_training: 27940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8464, kappa: 0.6877, kb_relative_information_score: 3672.1458, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8467, predictive_accuracy: 0.8469, prior_entropy: 0.9896, recall: 0.8469, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7465, scimark_benchmark: 943.6618, usercpu_time_millis: 15520, usercpu_time_millis_testing: 5110, usercpu_time_millis_training: 10410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8392, kappa: 0.673, kb_relative_information_score: 3653.9406, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8393, predictive_accuracy: 0.8396, prior_entropy: 0.9896, recall: 0.8396, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7521, scimark_benchmark: 929.7512, usercpu_time_millis: 7240, usercpu_time_millis_testing: 1970, usercpu_time_millis_training: 5270,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1327.5842, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8322, kappa: 0.6589, kb_relative_information_score: 5921.3027, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8322, predictive_accuracy: 0.8325, prior_entropy: 0.9896, recall: 0.8325, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6866, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1292.514, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 926.6704, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1342.8632, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.851, kappa: 0.6979, kb_relative_information_score: 4759.7808, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8512, predictive_accuracy: 0.8509, prior_entropy: 0.9896, recall: 0.8509, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6931, scimark_benchmark: 1314.9949, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1325.7874, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8431, kappa: 0.6817, kb_relative_information_score: 6121.1758, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8431, predictive_accuracy: 0.8431, prior_entropy: 0.9896, recall: 0.8431, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7197, scimark_benchmark: 1332.9478, usercpu_time_millis: 1160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.851, kappa: 0.6979, kb_relative_information_score: 4759.7808, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8512, predictive_accuracy: 0.8509, prior_entropy: 0.9896, recall: 0.8509, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6931, scimark_benchmark: 1339.2472, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1336.0954, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6606, kappa: 0.3088, kb_relative_information_score: 3154.7312, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6622, predictive_accuracy: 0.6648, prior_entropy: 0.9896, recall: 0.6648, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1664, scimark_benchmark: 1303.5632, usercpu_time_millis: 1040, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, 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: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1286.2211, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 908.2231, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 908.2231, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.8796, kappa: 0.7558, kb_relative_information_score: 6316.9921, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8797, predictive_accuracy: 0.8796, prior_entropy: 0.9896, recall: 0.8796, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6034, scimark_benchmark: 1316.5668, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8537, kappa: 0.7048, kb_relative_information_score: 6113.6836, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8566, predictive_accuracy: 0.8532, prior_entropy: 0.9896, recall: 0.8532, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6853, scimark_benchmark: 1322.3407, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1375.1578, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8322, kappa: 0.6589, kb_relative_information_score: 5921.3027, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8322, predictive_accuracy: 0.8325, prior_entropy: 0.9896, recall: 0.8325, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6866, scimark_benchmark: 1324.6442, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1310.6554, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8322, kappa: 0.6589, kb_relative_information_score: 5921.3027, mean_absolute_error: 0.209, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8322, predictive_accuracy: 0.8325, prior_entropy: 0.9896, recall: 0.8325, relative_absolute_error: 0.424, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6866, scimark_benchmark: 1319.4538, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1321.8321, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1316.5668, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6249, kappa: 0.2372, kb_relative_information_score: 1900.6796, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6243, predictive_accuracy: 0.626, prior_entropy: 0.9896, recall: 0.626, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9953, scimark_benchmark: 1358.6198, usercpu_time_millis: 12560, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 12230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8382, kappa: 0.671, kb_relative_information_score: 6009.9025, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8386, predictive_accuracy: 0.8388, prior_entropy: 0.9896, recall: 0.8388, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3342, root_relative_squared_error: 0.6732, scimark_benchmark: 1322.3407, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8528, kappa: 0.7004, kb_relative_information_score: 3949.5488, mean_absolute_error: 0.3236, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8541, predictive_accuracy: 0.8536, prior_entropy: 0.9896, recall: 0.8536, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7229, scimark_benchmark: 1350.2591, usercpu_time_millis: 570, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.851, kappa: 0.6979, kb_relative_information_score: 4759.7808, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.8512, predictive_accuracy: 0.8509, prior_entropy: 0.9896, recall: 0.8509, relative_absolute_error: 0.5657, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.6931, scimark_benchmark: 1350.7721, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6606, kappa: 0.3088, kb_relative_information_score: 3154.7312, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4928, number_of_instances: 10000, precision: 0.6622, predictive_accuracy: 0.6648, prior_entropy: 0.9896, recall: 0.6648, relative_absolute_error: 0.6802, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.579, root_relative_squared_error: 1.1664, scimark_benchmark: 1337.1928, usercpu_time_millis: 860, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 430,

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