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Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 4588 Supervised Classification mfeat-karhunen 214 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9654, kappa: 0.8038, kb_relative_information_score: 14282.8355, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9651, predictive_accuracy: 0.9662, prior_entropy: 0.4703, recall: 0.9662, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.5937, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9796, kappa: 0.885, kb_relative_information_score: 13472.8144, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9796, predictive_accuracy: 0.98, prior_entropy: 0.4703, recall: 0.98, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.4371, scimark_benchmark: 972.587, usercpu_time_millis: 1110, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9729, kappa: 0.8463, kb_relative_information_score: 13481.128, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9728, predictive_accuracy: 0.9736, prior_entropy: 0.4703, recall: 0.9736, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4889, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.968, kappa: 0.8103, kb_relative_information_score: 15572.0501, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9713, predictive_accuracy: 0.9704, prior_entropy: 0.4703, recall: 0.9704, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574, scimark_benchmark: 944.1067, usercpu_time_millis: 8570, usercpu_time_millis_testing: 3170, usercpu_time_millis_training: 5400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.968, kappa: 0.8103, kb_relative_information_score: 15572.0501, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9713, predictive_accuracy: 0.9704, prior_entropy: 0.4703, recall: 0.9704, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9796, kappa: 0.8837, kb_relative_information_score: 16919.5139, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9797, predictive_accuracy: 0.9801, prior_entropy: 0.4703, recall: 0.9801, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4246, scimark_benchmark: 941.6675, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 941.6675, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 941.6675, usercpu_time_millis: 190, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 938.191, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9805, kappa: 0.8884, kb_relative_information_score: 15014.7035, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.981, predictive_accuracy: 0.9812, prior_entropy: 0.4703, recall: 0.9812, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4144, scimark_benchmark: 938.191, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9952, kappa: 0.9729, kb_relative_information_score: 18725.5876, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.4703, recall: 0.9952, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.2084, scimark_benchmark: 944.6801, usercpu_time_millis: 63640, usercpu_time_millis_testing: 2320, usercpu_time_millis_training: 61320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.978, kappa: 0.8752, kb_relative_information_score: 16378.7412, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9779, predictive_accuracy: 0.9784, prior_entropy: 0.4703, recall: 0.9784, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.456, scimark_benchmark: 931.771, usercpu_time_millis: 10200, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.968, kappa: 0.8103, kb_relative_information_score: 15572.0501, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9713, predictive_accuracy: 0.9704, prior_entropy: 0.4703, recall: 0.9704, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574, scimark_benchmark: 941.3847, usercpu_time_millis: 12330, usercpu_time_millis_testing: 5760, usercpu_time_millis_training: 6570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.968, kappa: 0.8103, kb_relative_information_score: 15572.0501, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9713, predictive_accuracy: 0.9704, prior_entropy: 0.4703, recall: 0.9704, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574, scimark_benchmark: 944.1783, usercpu_time_millis: 10240, usercpu_time_millis_testing: 4620, usercpu_time_millis_training: 5620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9824, kappa: 0.8983, kb_relative_information_score: 14773.2344, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9833, predictive_accuracy: 0.9831, prior_entropy: 0.4703, recall: 0.9831, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.4153, scimark_benchmark: 947.1781, usercpu_time_millis: 850, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9654, kappa: 0.8038, kb_relative_information_score: 14282.8355, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9651, predictive_accuracy: 0.9662, prior_entropy: 0.4703, recall: 0.9662, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.5937, scimark_benchmark: 942.2392, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9796, kappa: 0.885, kb_relative_information_score: 13472.8144, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9796, predictive_accuracy: 0.98, prior_entropy: 0.4703, recall: 0.98, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.4371, scimark_benchmark: 901.6243, usercpu_time_millis: 930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9729, kappa: 0.8463, kb_relative_information_score: 13481.128, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9728, predictive_accuracy: 0.9736, prior_entropy: 0.4703, recall: 0.9736, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4889, scimark_benchmark: 934.695, usercpu_time_millis: 1500, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.968, kappa: 0.8103, kb_relative_information_score: 15572.0501, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9713, predictive_accuracy: 0.9704, prior_entropy: 0.4703, recall: 0.9704, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574, scimark_benchmark: 908.9569, usercpu_time_millis: 20160, usercpu_time_millis_testing: 11600, usercpu_time_millis_training: 8560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.968, kappa: 0.8103, kb_relative_information_score: 15572.0501, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9713, predictive_accuracy: 0.9704, prior_entropy: 0.4703, recall: 0.9704, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574, scimark_benchmark: 932.438, usercpu_time_millis: 11490, usercpu_time_millis_testing: 4720, usercpu_time_millis_training: 6770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 903.2737, usercpu_time_millis: 200, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 938.1282, usercpu_time_millis: 190, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9805, kappa: 0.8884, kb_relative_information_score: 15014.7035, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.981, predictive_accuracy: 0.9812, prior_entropy: 0.4703, recall: 0.9812, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4144, scimark_benchmark: 903.2737, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9952, kappa: 0.9729, kb_relative_information_score: 18725.5876, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.4703, recall: 0.9952, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.2084, scimark_benchmark: 934.695, usercpu_time_millis: 55930, usercpu_time_millis_testing: 2040, usercpu_time_millis_training: 53890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 936.9595, usercpu_time_millis: 200, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9824, kappa: 0.8983, kb_relative_information_score: 14773.2344, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9833, predictive_accuracy: 0.9831, prior_entropy: 0.4703, recall: 0.9831, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.4153, scimark_benchmark: 945.6228, usercpu_time_millis: 920, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9912, kappa: 0.9503, kb_relative_information_score: 16171.5159, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9915, predictive_accuracy: 0.9914, prior_entropy: 0.4703, recall: 0.9914, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.3358, scimark_benchmark: 934.7923, usercpu_time_millis: 76920, usercpu_time_millis_testing: 28150, usercpu_time_millis_training: 48770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9915, kappa: 0.9521, kb_relative_information_score: 16108.6759, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.4703, recall: 0.9917, relative_absolute_error: 0.2392, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.3375, scimark_benchmark: 939.8002, usercpu_time_millis: 37470, usercpu_time_millis_testing: 14550, usercpu_time_millis_training: 22920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9907, kappa: 0.9473, kb_relative_information_score: 15894.6751, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.991, predictive_accuracy: 0.9909, prior_entropy: 0.4703, recall: 0.9909, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.3449, scimark_benchmark: 930.404, usercpu_time_millis: 18340, usercpu_time_millis_testing: 6830, usercpu_time_millis_training: 11510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9898, kappa: 0.9419, kb_relative_information_score: 15691.2559, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 0.4703, recall: 0.99, relative_absolute_error: 0.2395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.3551, scimark_benchmark: 890.4736, usercpu_time_millis: 7360, usercpu_time_millis_testing: 1630, usercpu_time_millis_training: 5730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9878, kappa: 0.9303, kb_relative_information_score: 15162.5868, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 0.4703, recall: 0.9881, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3817, scimark_benchmark: 935.9271, usercpu_time_millis: 3700, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 3000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9872, kappa: 0.928, kb_relative_information_score: 17855.1754, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9872, predictive_accuracy: 0.9874, prior_entropy: 0.4703, recall: 0.9874, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.3398, scimark_benchmark: 941.9549, usercpu_time_millis: 1020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9871, kappa: 0.9277, kb_relative_information_score: 17849.5807, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9871, predictive_accuracy: 0.9873, prior_entropy: 0.4703, recall: 0.9873, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.102, root_relative_squared_error: 0.3401, scimark_benchmark: 938.3115, usercpu_time_millis: 1050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9865, kappa: 0.9241, kb_relative_information_score: 17729.9886, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9865, predictive_accuracy: 0.9867, prior_entropy: 0.4703, recall: 0.9867, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.3475, scimark_benchmark: 929.0296, usercpu_time_millis: 1070, usercpu_time_millis_training: 1070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9836, kappa: 0.9075, kb_relative_information_score: 17157.1725, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9836, predictive_accuracy: 0.9839, prior_entropy: 0.4703, recall: 0.9839, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.114, root_relative_squared_error: 0.3801, scimark_benchmark: 936.1714, usercpu_time_millis: 1020, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9759, kappa: 0.8631, kb_relative_information_score: 15328.8765, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9758, predictive_accuracy: 0.9764, prior_entropy: 0.4703, recall: 0.9764, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.4515, scimark_benchmark: 936.1714, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1346.2927, usercpu_time_millis: 150, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1346.2927, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1349.1517, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9805, kappa: 0.8884, kb_relative_information_score: 15014.7035, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.981, predictive_accuracy: 0.9812, prior_entropy: 0.4703, recall: 0.9812, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4144, scimark_benchmark: 1349.1517, usercpu_time_millis: 540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1331.2559, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9796, kappa: 0.8837, kb_relative_information_score: 16919.5139, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9797, predictive_accuracy: 0.9801, prior_entropy: 0.4703, recall: 0.9801, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4246, scimark_benchmark: 1375.1578, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1324.8408, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1333.202, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9805, kappa: 0.8884, kb_relative_information_score: 15014.7035, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.981, predictive_accuracy: 0.9812, prior_entropy: 0.4703, recall: 0.9812, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4144, scimark_benchmark: 1324.7884, usercpu_time_millis: 450, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1325.8468, usercpu_time_millis: 110, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9824, kappa: 0.8983, kb_relative_information_score: 14773.2344, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9833, predictive_accuracy: 0.9831, prior_entropy: 0.4703, recall: 0.9831, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.4153, scimark_benchmark: 1317.5857, usercpu_time_millis: 950, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.968, kappa: 0.8103, kb_relative_information_score: 15572.0501, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9713, predictive_accuracy: 0.9704, prior_entropy: 0.4703, recall: 0.9704, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574, scimark_benchmark: 1317.7919, usercpu_time_millis: 10730, usercpu_time_millis_testing: 5020, usercpu_time_millis_training: 5710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9796, kappa: 0.8837, kb_relative_information_score: 16919.5139, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9797, predictive_accuracy: 0.9801, prior_entropy: 0.4703, recall: 0.9801, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4246, scimark_benchmark: 1338.5214, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1306.9281, usercpu_time_millis: 150, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1317.2327, usercpu_time_millis: 150, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9654, kappa: 0.8038, kb_relative_information_score: 14282.8355, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9651, predictive_accuracy: 0.9662, prior_entropy: 0.4703, recall: 0.9662, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.5937, scimark_benchmark: 1336.0954, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.968, kappa: 0.8103, kb_relative_information_score: 15572.0501, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9713, predictive_accuracy: 0.9704, prior_entropy: 0.4703, recall: 0.9704, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574, scimark_benchmark: 1353.5464, usercpu_time_millis: 10920, usercpu_time_millis_testing: 5410, usercpu_time_millis_training: 5510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9796, kappa: 0.8837, kb_relative_information_score: 16919.5139, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9797, predictive_accuracy: 0.9801, prior_entropy: 0.4703, recall: 0.9801, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4246, scimark_benchmark: 1337.9552, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9952, kappa: 0.9729, kb_relative_information_score: 18725.5876, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 0.4703, recall: 0.9952, relative_absolute_error: 0.0699, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.2084, scimark_benchmark: 1337.9552, usercpu_time_millis: 27290, usercpu_time_millis_testing: 1590, usercpu_time_millis_training: 25700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1306.8702, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.968, kappa: 0.8103, kb_relative_information_score: 15572.0501, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9713, predictive_accuracy: 0.9704, prior_entropy: 0.4703, recall: 0.9704, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.574, scimark_benchmark: 1306.8702, usercpu_time_millis: 9650, usercpu_time_millis_testing: 3390, usercpu_time_millis_training: 6260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9796, kappa: 0.8837, kb_relative_information_score: 16919.5139, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9797, predictive_accuracy: 0.9801, prior_entropy: 0.4703, recall: 0.9801, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4246, scimark_benchmark: 1337.3324, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1337.3324, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1331.1314, usercpu_time_millis: 120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9857, kappa: 0.9192, kb_relative_information_score: 17622.9937, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9857, predictive_accuracy: 0.9859, prior_entropy: 0.4703, recall: 0.9859, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.3456, scimark_benchmark: 1309.2287, usercpu_time_millis: 140, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.978, kappa: 0.8752, kb_relative_information_score: 16378.7412, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9779, predictive_accuracy: 0.9784, prior_entropy: 0.4703, recall: 0.9784, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.456, scimark_benchmark: 1358.6198, usercpu_time_millis: 12340, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 12280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9824, kappa: 0.8983, kb_relative_information_score: 14773.2344, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9833, predictive_accuracy: 0.9831, prior_entropy: 0.4703, recall: 0.9831, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.4153, scimark_benchmark: 1324.6442, usercpu_time_millis: 880, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9898, kappa: 0.9432, kb_relative_information_score: 18225.5956, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.4703, recall: 0.9898, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.3057, scimark_benchmark: 1330.3852, usercpu_time_millis: 37510, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 36810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9729, kappa: 0.8463, kb_relative_information_score: 13481.128, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1803, number_of_instances: 20000, precision: 0.9728, predictive_accuracy: 0.9736, prior_entropy: 0.4703, recall: 0.9736, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4889, scimark_benchmark: 1309.4708, usercpu_time_millis: 1180, usercpu_time_millis_training: 1180,

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