Task
Supervised Classification on delta_ailerons

Supervised Classification on delta_ailerons

Task 4373 Supervised Classification delta_ailerons 231 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9413, kappa: 0.882, kb_relative_information_score: 57786.0765, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9417, predictive_accuracy: 0.9413, prior_entropy: 0.9973, recall: 0.9413, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4638, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9379, kappa: 0.8752, kb_relative_information_score: 47352.8701, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9382, predictive_accuracy: 0.9379, prior_entropy: 0.9973, recall: 0.9379, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5075, scimark_benchmark: 972.587, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9397, kappa: 0.8788, kb_relative_information_score: 57968.441, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9399, predictive_accuracy: 0.9397, prior_entropy: 0.9973, recall: 0.9397, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4525, scimark_benchmark: 934.3687, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 4005.8791, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 944.1067, usercpu_time_millis: 8000, usercpu_time_millis_testing: 3470, usercpu_time_millis_training: 4530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 4005.8791, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 916.0735, usercpu_time_millis: 8950, usercpu_time_millis_testing: 3470, usercpu_time_millis_training: 5480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9425, kappa: 0.8846, kb_relative_information_score: 60241.6164, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9973, recall: 0.9426, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4368, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9425, kappa: 0.8846, kb_relative_information_score: 60241.6164, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9973, recall: 0.9426, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4368, scimark_benchmark: 941.6675, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9431, kappa: 0.8857, kb_relative_information_score: 59348.4909, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 0.9973, recall: 0.9431, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4308, scimark_benchmark: 941.6675, usercpu_time_millis: 330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9396, kappa: 0.8788, kb_relative_information_score: 57575.0514, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9398, predictive_accuracy: 0.9397, prior_entropy: 0.9973, recall: 0.9397, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4543, scimark_benchmark: 944.6801, usercpu_time_millis: 1023870, usercpu_time_millis_testing: 5180, usercpu_time_millis_training: 1018690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9416, kappa: 0.8826, kb_relative_information_score: 60009.9047, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9416, predictive_accuracy: 0.9416, prior_entropy: 0.9973, recall: 0.9416, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4464, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 4005.8791, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 941.3847, usercpu_time_millis: 8770, usercpu_time_millis_testing: 3390, usercpu_time_millis_training: 5380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 4005.8791, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 941.3847, usercpu_time_millis: 8650, usercpu_time_millis_testing: 3390, usercpu_time_millis_training: 5260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.938, kappa: 0.8755, kb_relative_information_score: 59647.4142, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9973, recall: 0.9381, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.457, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9425, kappa: 0.8846, kb_relative_information_score: 60241.6164, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9973, recall: 0.9426, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4368, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9425, kappa: 0.8846, kb_relative_information_score: 60241.6164, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9973, recall: 0.9426, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4368, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9449, kappa: 0.8893, kb_relative_information_score: 59498.9065, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.945, predictive_accuracy: 0.9449, prior_entropy: 0.9973, recall: 0.9449, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4254, scimark_benchmark: 947.1781, usercpu_time_millis: 2510, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9413, kappa: 0.882, kb_relative_information_score: 57786.0765, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9417, predictive_accuracy: 0.9413, prior_entropy: 0.9973, recall: 0.9413, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4638, scimark_benchmark: 942.2392, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9379, kappa: 0.8752, kb_relative_information_score: 47352.8701, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9382, predictive_accuracy: 0.9379, prior_entropy: 0.9973, recall: 0.9379, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5075, scimark_benchmark: 908.9569, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9397, kappa: 0.8788, kb_relative_information_score: 57968.441, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9399, predictive_accuracy: 0.9397, prior_entropy: 0.9973, recall: 0.9397, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4525, scimark_benchmark: 938.1282, usercpu_time_millis: 610, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 4005.8791, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 927.2882, usercpu_time_millis: 9620, usercpu_time_millis_testing: 3710, usercpu_time_millis_training: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 4005.8791, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 943.6618, usercpu_time_millis: 10410, usercpu_time_millis_testing: 3430, usercpu_time_millis_training: 6980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9396, kappa: 0.8788, kb_relative_information_score: 57575.0514, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9398, predictive_accuracy: 0.9397, prior_entropy: 0.9973, recall: 0.9397, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4543, scimark_benchmark: 934.5964, usercpu_time_millis: 983850, usercpu_time_millis_testing: 4990, usercpu_time_millis_training: 978860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9425, kappa: 0.8846, kb_relative_information_score: 60241.6164, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9973, recall: 0.9426, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4368, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9425, kappa: 0.8846, kb_relative_information_score: 60241.6164, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9973, recall: 0.9426, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4368, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9425, kappa: 0.8846, kb_relative_information_score: 60241.6164, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9973, recall: 0.9426, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4368, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9425, kappa: 0.8846, kb_relative_information_score: 60241.6164, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9973, recall: 0.9426, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4368, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9431, kappa: 0.8857, kb_relative_information_score: 59348.4909, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 0.9973, recall: 0.9431, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4308, scimark_benchmark: 903.2737, usercpu_time_millis: 320, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9425, kappa: 0.8846, kb_relative_information_score: 60241.6164, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9973, recall: 0.9426, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4368, scimark_benchmark: 944.0133, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9416, kappa: 0.8826, kb_relative_information_score: 60009.9047, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9416, predictive_accuracy: 0.9416, prior_entropy: 0.9973, recall: 0.9416, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4464, scimark_benchmark: 936.9595, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9449, kappa: 0.8893, kb_relative_information_score: 59498.9065, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.945, predictive_accuracy: 0.9449, prior_entropy: 0.9973, recall: 0.9449, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.4254, scimark_benchmark: 730.6551, usercpu_time_millis: 3590, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 2980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9426, kappa: 0.8847, kb_relative_information_score: 58088.2572, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9429, predictive_accuracy: 0.9427, prior_entropy: 0.9973, recall: 0.9427, relative_absolute_error: 0.208, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.441, scimark_benchmark: 936.2574, usercpu_time_millis: 23980, usercpu_time_millis_testing: 3790, usercpu_time_millis_training: 20190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9424, kappa: 0.8842, kb_relative_information_score: 58089.8922, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9424, prior_entropy: 0.9973, recall: 0.9424, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4414, scimark_benchmark: 933.3455, usercpu_time_millis: 12090, usercpu_time_millis_testing: 1830, usercpu_time_millis_training: 10260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9423, kappa: 0.8841, kb_relative_information_score: 58065.2697, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9426, predictive_accuracy: 0.9423, prior_entropy: 0.9973, recall: 0.9423, relative_absolute_error: 0.2082, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.442, scimark_benchmark: 862.7006, usercpu_time_millis: 6210, usercpu_time_millis_testing: 950, usercpu_time_millis_training: 5260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9424, kappa: 0.8844, kb_relative_information_score: 58073.5177, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9425, prior_entropy: 0.9973, recall: 0.9425, relative_absolute_error: 0.2079, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4427, scimark_benchmark: 944.235, usercpu_time_millis: 2890, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 2440,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9366, kappa: 0.8725, kb_relative_information_score: 58802.5858, mean_absolute_error: 0.0953, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9369, predictive_accuracy: 0.9366, prior_entropy: 0.9973, recall: 0.9366, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4737, scimark_benchmark: 889.4922, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3679, kb_relative_information_score: 4005.8791, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.2816, predictive_accuracy: 0.5306, prior_entropy: 0.9973, recall: 0.5306, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6851, root_relative_squared_error: 1.3728, scimark_benchmark: 1303.5632, usercpu_time_millis: 14060, usercpu_time_millis_testing: 5650, usercpu_time_millis_training: 8410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.938, kappa: 0.8755, kb_relative_information_score: 59647.4142, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9973, recall: 0.9381, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.457, scimark_benchmark: 1362.9924, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9431, kappa: 0.8857, kb_relative_information_score: 59348.4909, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 0.9973, recall: 0.9431, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4308, scimark_benchmark: 1349.1517, usercpu_time_millis: 300, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 280,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.938, kappa: 0.8755, kb_relative_information_score: 59647.4142, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9973, recall: 0.9381, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.457, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9413, kappa: 0.882, kb_relative_information_score: 57786.0765, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9417, predictive_accuracy: 0.9413, prior_entropy: 0.9973, recall: 0.9413, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4638, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9413, kappa: 0.882, kb_relative_information_score: 57786.0765, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9417, predictive_accuracy: 0.9413, prior_entropy: 0.9973, recall: 0.9413, relative_absolute_error: 0.2128, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4638, scimark_benchmark: 1336.0954, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9396, kappa: 0.8788, kb_relative_information_score: 57575.0514, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9398, predictive_accuracy: 0.9397, prior_entropy: 0.9973, recall: 0.9397, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4543, scimark_benchmark: 1349.9643, usercpu_time_millis: 304320, usercpu_time_millis_testing: 5720, usercpu_time_millis_training: 298600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.938, kappa: 0.8755, kb_relative_information_score: 59647.4142, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9973, recall: 0.9381, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.457, 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: 0.9746, f_measure: 0.9425, kappa: 0.8846, kb_relative_information_score: 60241.6164, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9427, predictive_accuracy: 0.9426, prior_entropy: 0.9973, recall: 0.9426, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4368, scimark_benchmark: 1329.8008, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9397, kappa: 0.8788, kb_relative_information_score: 57968.441, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9399, predictive_accuracy: 0.9397, prior_entropy: 0.9973, recall: 0.9397, relative_absolute_error: 0.207, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4525, scimark_benchmark: 1307.9497, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.938, kappa: 0.8755, kb_relative_information_score: 59647.4142, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4981, number_of_instances: 71290, precision: 0.9382, predictive_accuracy: 0.9381, prior_entropy: 0.9973, recall: 0.9381, relative_absolute_error: 0.1747, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.457, scimark_benchmark: 1313.5633, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, 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