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Supervised Classification on fri_c0_1000_50

Supervised Classification on fri_c0_1000_50

Task 4472 Supervised Classification fri_c0_1000_50 207 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8154, kappa: 0.6307, kb_relative_information_score: 5335.3679, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8154, predictive_accuracy: 0.8154, prior_entropy: 0.9997, recall: 0.8154, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7483, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8129, kappa: 0.6256, kb_relative_information_score: 4412.2324, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8129, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7225, scimark_benchmark: 972.587, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8299, kappa: 0.6596, kb_relative_information_score: 5380.9545, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8299, predictive_accuracy: 0.8299, prior_entropy: 0.9997, recall: 0.8299, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6891, scimark_benchmark: 934.3687, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8163, kappa: 0.6326, kb_relative_information_score: 6323.8759, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8165, predictive_accuracy: 0.8163, prior_entropy: 0.9997, recall: 0.8163, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8574, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8163, kappa: 0.6326, kb_relative_information_score: 6323.8759, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8165, predictive_accuracy: 0.8163, prior_entropy: 0.9997, recall: 0.8163, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8574, scimark_benchmark: 916.0735, usercpu_time_millis: 1550, usercpu_time_millis_testing: 640, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 5382.0441, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8397, predictive_accuracy: 0.8396, prior_entropy: 0.9997, recall: 0.8396, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6764, scimark_benchmark: 941.6675, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8025, kappa: 0.6049, kb_relative_information_score: 5211.1252, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 0.9997, recall: 0.8025, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7501, scimark_benchmark: 938.191, usercpu_time_millis: 10660, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 10200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8065, kappa: 0.6128, kb_relative_information_score: 4759.5598, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8065, predictive_accuracy: 0.8065, prior_entropy: 0.9997, recall: 0.8065, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7572, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8163, kappa: 0.6326, kb_relative_information_score: 6323.8759, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8165, predictive_accuracy: 0.8163, prior_entropy: 0.9997, recall: 0.8163, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8574, scimark_benchmark: 936.3373, usercpu_time_millis: 1720, usercpu_time_millis_testing: 760, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8163, kappa: 0.6326, kb_relative_information_score: 6323.8759, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8165, predictive_accuracy: 0.8163, prior_entropy: 0.9997, recall: 0.8163, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8574, scimark_benchmark: 932.438, usercpu_time_millis: 1480, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8429, kappa: 0.6857, kb_relative_information_score: 3611.6492, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8431, prior_entropy: 0.9997, recall: 0.8431, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7475, scimark_benchmark: 947.1781, usercpu_time_millis: 670, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8154, kappa: 0.6307, kb_relative_information_score: 5335.3679, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8154, predictive_accuracy: 0.8154, prior_entropy: 0.9997, recall: 0.8154, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7483, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8129, kappa: 0.6256, kb_relative_information_score: 4412.2324, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8129, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7225, scimark_benchmark: 908.9569, usercpu_time_millis: 480, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8299, kappa: 0.6596, kb_relative_information_score: 5380.9545, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8299, predictive_accuracy: 0.8299, prior_entropy: 0.9997, recall: 0.8299, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6891, scimark_benchmark: 938.1282, usercpu_time_millis: 860, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8163, kappa: 0.6326, kb_relative_information_score: 6323.8759, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8165, predictive_accuracy: 0.8163, prior_entropy: 0.9997, recall: 0.8163, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8574, scimark_benchmark: 940.1221, usercpu_time_millis: 1520, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4538.8322, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8129, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7285, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, 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: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, 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: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, 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: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, 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: 0.9203, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 5382.0441, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8397, predictive_accuracy: 0.8396, prior_entropy: 0.9997, recall: 0.8396, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6764, scimark_benchmark: 930.404, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8025, kappa: 0.6049, kb_relative_information_score: 5211.1252, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 0.9997, recall: 0.8025, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7501, scimark_benchmark: 919.3788, usercpu_time_millis: 11600, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 11330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 945.6228, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8065, kappa: 0.6128, kb_relative_information_score: 4759.5598, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8065, predictive_accuracy: 0.8065, prior_entropy: 0.9997, recall: 0.8065, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7572, scimark_benchmark: 945.6228, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8429, kappa: 0.6857, kb_relative_information_score: 3611.6492, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8431, prior_entropy: 0.9997, recall: 0.8431, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7475, scimark_benchmark: 917.5013, usercpu_time_millis: 770, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8464, kappa: 0.6927, kb_relative_information_score: 4406.8114, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8466, predictive_accuracy: 0.8465, prior_entropy: 0.9997, recall: 0.8465, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7044, scimark_benchmark: 935.5664, usercpu_time_millis: 30470, usercpu_time_millis_testing: 10800, usercpu_time_millis_training: 19670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8441, kappa: 0.688, kb_relative_information_score: 4386.3856, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8442, predictive_accuracy: 0.8441, prior_entropy: 0.9997, recall: 0.8441, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7084, scimark_benchmark: 934.7923, usercpu_time_millis: 15890, usercpu_time_millis_testing: 5770, usercpu_time_millis_training: 10120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8374, kappa: 0.6745, kb_relative_information_score: 4389.0835, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8375, predictive_accuracy: 0.8374, prior_entropy: 0.9997, recall: 0.8374, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.356, root_relative_squared_error: 0.712, scimark_benchmark: 921.466, usercpu_time_millis: 7270, usercpu_time_millis_testing: 2470, usercpu_time_millis_training: 4800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8262, kappa: 0.6523, kb_relative_information_score: 4314.4355, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8264, predictive_accuracy: 0.8263, prior_entropy: 0.9997, recall: 0.8263, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7277, scimark_benchmark: 917.2109, usercpu_time_millis: 3070, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 2410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8022, kappa: 0.6041, kb_relative_information_score: 4227.3739, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8026, predictive_accuracy: 0.8023, prior_entropy: 0.9997, recall: 0.8023, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.751, scimark_benchmark: 862.7006, usercpu_time_millis: 1470, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 1190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8491, kappa: 0.698, kb_relative_information_score: 6348.7356, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8491, predictive_accuracy: 0.8491, prior_entropy: 0.9997, recall: 0.8491, relative_absolute_error: 0.3808, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6627, scimark_benchmark: 941.9549, usercpu_time_millis: 1090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8496, kappa: 0.699, kb_relative_information_score: 6351.0751, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8496, predictive_accuracy: 0.8496, prior_entropy: 0.9997, recall: 0.8496, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6623, scimark_benchmark: 930.0565, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.8496, kappa: 0.699, kb_relative_information_score: 6327.2821, mean_absolute_error: 0.1918, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8496, predictive_accuracy: 0.8496, prior_entropy: 0.9997, recall: 0.8496, relative_absolute_error: 0.3838, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.659, scimark_benchmark: 894.7131, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8474, kappa: 0.6946, kb_relative_information_score: 6172.0415, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8474, predictive_accuracy: 0.8474, prior_entropy: 0.9997, recall: 0.8474, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3282, root_relative_squared_error: 0.6565, scimark_benchmark: 936.1714, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.834, kappa: 0.6678, kb_relative_information_score: 5631.6527, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.834, predictive_accuracy: 0.834, prior_entropy: 0.9997, recall: 0.834, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6844, scimark_benchmark: 929.0296, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8129, kappa: 0.6256, kb_relative_information_score: 4412.2324, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8129, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7225, scimark_benchmark: 1339.2472, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 1313.8988, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8163, kappa: 0.6326, kb_relative_information_score: 6323.8759, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8165, predictive_accuracy: 0.8163, prior_entropy: 0.9997, recall: 0.8163, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8574, scimark_benchmark: 1362.9924, usercpu_time_millis: 980, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 1324.7884, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4538.8322, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8129, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7285, scimark_benchmark: 1286.2211, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, 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: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 908.2231, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 930.5999, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8396, kappa: 0.6789, kb_relative_information_score: 5382.0441, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8397, predictive_accuracy: 0.8396, prior_entropy: 0.9997, recall: 0.8396, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.6764, scimark_benchmark: 1324.7884, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8429, kappa: 0.6857, kb_relative_information_score: 3611.6492, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8431, prior_entropy: 0.9997, recall: 0.8431, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7475, scimark_benchmark: 1317.5857, usercpu_time_millis: 680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8154, kappa: 0.6307, kb_relative_information_score: 5335.3679, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8154, predictive_accuracy: 0.8154, prior_entropy: 0.9997, recall: 0.8154, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7483, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4538.8322, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8129, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7285, scimark_benchmark: 1335.6555, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 1349.1517, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 1324.6442, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8163, kappa: 0.6326, kb_relative_information_score: 6323.8759, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8165, predictive_accuracy: 0.8163, prior_entropy: 0.9997, recall: 0.8163, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8574, scimark_benchmark: 1316.5668, usercpu_time_millis: 840, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4538.8322, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8129, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7285, 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: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 1313.11, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8025, kappa: 0.6049, kb_relative_information_score: 5211.1252, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8025, predictive_accuracy: 0.8025, prior_entropy: 0.9997, recall: 0.8025, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.375, root_relative_squared_error: 0.7501, scimark_benchmark: 1322.0065, usercpu_time_millis: 10880, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 10530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 1354.5533, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8707, f_measure: 0.8065, kappa: 0.6128, kb_relative_information_score: 4759.5598, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8065, predictive_accuracy: 0.8065, prior_entropy: 0.9997, recall: 0.8065, relative_absolute_error: 0.5518, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7572, scimark_benchmark: 1332.1612, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4538.8322, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.8129, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7285, scimark_benchmark: 1346.4374, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 1350.7721, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 1337.1928, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8128, kappa: 0.6255, kb_relative_information_score: 4575.2873, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.4998, number_of_instances: 10000, precision: 0.813, predictive_accuracy: 0.8129, prior_entropy: 0.9997, recall: 0.8129, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7269, scimark_benchmark: 1337.3324, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,

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