Task
Supervised Classification on kropt

Supervised Classification on kropt

Task 2941 Supervised Classification kropt 185 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.561, kappa: 0.5116, kb_relative_information_score: 158384.6602, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5631, predictive_accuracy: 0.5646, prior_entropy: 3.5053, recall: 0.5646, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.831, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.2568, kappa: 0.212, kb_relative_information_score: 69414.823, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.2881, predictive_accuracy: 0.3132, prior_entropy: 3.5053, recall: 0.3132, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.9482, scimark_benchmark: 851.2074, usercpu_time_millis: 47300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 47220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 941.6675, usercpu_time_millis: 180, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 941.6675, usercpu_time_millis: 190, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.5823, kappa: 0.535, kb_relative_information_score: 163468.8661, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5828, predictive_accuracy: 0.585, prior_entropy: 3.5053, recall: 0.585, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.7855, scimark_benchmark: 941.6675, usercpu_time_millis: 1620, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.6966, kappa: 0.6624, kb_relative_information_score: 168408.8365, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.7009, predictive_accuracy: 0.6987, prior_entropy: 3.5053, recall: 0.6987, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.7385, scimark_benchmark: 931.771, usercpu_time_millis: 7730, usercpu_time_millis_testing: 2200, usercpu_time_millis_training: 5530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.4144, kappa: 0.3734, kb_relative_information_score: 112345.9317, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.4422, predictive_accuracy: 0.4455, prior_entropy: 3.5053, recall: 0.4455, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2482, root_relative_squared_error: 1.1128, scimark_benchmark: 941.3847, usercpu_time_millis: 190250, usercpu_time_millis_testing: 100500, usercpu_time_millis_training: 89750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 941.3847, usercpu_time_millis: 180, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.5961, kappa: 0.5502, kb_relative_information_score: 160349.278, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.6017, predictive_accuracy: 0.5996, prior_entropy: 3.5053, recall: 0.5996, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8082, scimark_benchmark: 936.3373, usercpu_time_millis: 24870, usercpu_time_millis_testing: 2120, usercpu_time_millis_training: 22750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.6966, kappa: 0.6624, kb_relative_information_score: 168408.8365, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.7009, predictive_accuracy: 0.6987, prior_entropy: 3.5053, recall: 0.6987, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.7385, scimark_benchmark: 943.1009, usercpu_time_millis: 7510, usercpu_time_millis_testing: 1930, usercpu_time_millis_training: 5580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.879, kappa: 0.8654, kb_relative_information_score: 221903.2648, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.8793, predictive_accuracy: 0.8795, prior_entropy: 3.5053, recall: 0.8795, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.5179, scimark_benchmark: 937.5117, usercpu_time_millis: 420970, usercpu_time_millis_testing: 14910, usercpu_time_millis_training: 406060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.561, kappa: 0.5116, kb_relative_information_score: 158384.6602, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5631, predictive_accuracy: 0.5646, prior_entropy: 3.5053, recall: 0.5646, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.831, scimark_benchmark: 819.5729, usercpu_time_millis: 300, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.4144, kappa: 0.3734, kb_relative_information_score: 112345.9317, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.4422, predictive_accuracy: 0.4455, prior_entropy: 3.5053, recall: 0.4455, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2482, root_relative_squared_error: 1.1128, scimark_benchmark: 940.1221, usercpu_time_millis: 204850, usercpu_time_millis_testing: 113180, usercpu_time_millis_training: 91670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.3336, kappa: 0.2763, kb_relative_information_score: 88578.2352, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.3354, predictive_accuracy: 0.3617, prior_entropy: 3.5053, recall: 0.3617, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.9238, scimark_benchmark: 930.404, usercpu_time_millis: 270, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 930.404, usercpu_time_millis: 180, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.5823, kappa: 0.535, kb_relative_information_score: 163468.8661, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5828, predictive_accuracy: 0.585, prior_entropy: 3.5053, recall: 0.585, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.7855, scimark_benchmark: 903.2737, usercpu_time_millis: 1430, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 932.438, usercpu_time_millis: 180, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.5961, kappa: 0.5502, kb_relative_information_score: 160349.278, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.6017, predictive_accuracy: 0.5996, prior_entropy: 3.5053, recall: 0.5996, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8082, scimark_benchmark: 936.3213, usercpu_time_millis: 24030, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 21950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.6966, kappa: 0.6624, kb_relative_information_score: 168408.8365, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.7009, predictive_accuracy: 0.6987, prior_entropy: 3.5053, recall: 0.6987, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.7385, scimark_benchmark: 938.988, usercpu_time_millis: 7700, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 5620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.8842, kappa: 0.8712, kb_relative_information_score: 222462.7872, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.8845, predictive_accuracy: 0.8847, prior_entropy: 3.5053, recall: 0.8847, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5126, scimark_benchmark: 930.404, usercpu_time_millis: 1296850, usercpu_time_millis_testing: 55210, usercpu_time_millis_training: 1241640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8693, kappa: 0.8546, kb_relative_information_score: 221303.573, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.8695, predictive_accuracy: 0.8698, prior_entropy: 3.5053, recall: 0.8698, relative_absolute_error: 0.3847, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1173, root_relative_squared_error: 0.5258, scimark_benchmark: 941.8684, usercpu_time_millis: 258490, usercpu_time_millis_testing: 7910, usercpu_time_millis_training: 250580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8485, kappa: 0.8316, kb_relative_information_score: 219430.6629, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.8487, predictive_accuracy: 0.8493, prior_entropy: 3.5053, recall: 0.8493, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.5444, scimark_benchmark: 938.3115, usercpu_time_millis: 145800, usercpu_time_millis_testing: 4570, usercpu_time_millis_training: 141230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.2903, kappa: 0.2203, kb_relative_information_score: 75581.9079, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.286, predictive_accuracy: 0.3091, prior_entropy: 3.5053, recall: 0.3091, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.9494, scimark_benchmark: 941.9549, usercpu_time_millis: 9660, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 8750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.0872, kappa: 0.0502, kb_relative_information_score: 23438.2504, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.0609, predictive_accuracy: 0.1893, prior_entropy: 3.5053, recall: 0.1893, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9917, scimark_benchmark: 926.5859, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.0872, kappa: 0.0502, kb_relative_information_score: 23438.2504, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.0609, predictive_accuracy: 0.1893, prior_entropy: 3.5053, recall: 0.1893, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9917, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.0872, kappa: 0.0502, kb_relative_information_score: 23438.2504, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.0609, predictive_accuracy: 0.1893, prior_entropy: 3.5053, recall: 0.1893, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9917, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.0872, kappa: 0.0502, kb_relative_information_score: 23438.2504, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.0609, predictive_accuracy: 0.1893, prior_entropy: 3.5053, recall: 0.1893, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9917, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.0872, kappa: 0.0502, kb_relative_information_score: 23438.2504, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.0609, predictive_accuracy: 0.1893, prior_entropy: 3.5053, recall: 0.1893, relative_absolute_error: 0.983, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.9917, scimark_benchmark: 941.9549, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0453, kb_relative_information_score: 24529.9464, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.0263, predictive_accuracy: 0.1623, prior_entropy: 3.5053, recall: 0.1623, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.3051, root_relative_squared_error: 1.3677, scimark_benchmark: 938.3115, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.6435, kappa: 0.6061, kb_relative_information_score: 151154.4948, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.6534, predictive_accuracy: 0.6496, prior_entropy: 3.5053, recall: 0.6496, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.172, root_relative_squared_error: 0.771, scimark_benchmark: 926.5859, usercpu_time_millis: 11330, usercpu_time_millis_testing: 7910, usercpu_time_millis_training: 3420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.619, kappa: 0.5758, kb_relative_information_score: 109915.0259, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.625, predictive_accuracy: 0.6219, prior_entropy: 3.5053, recall: 0.6219, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.8422, scimark_benchmark: 911.442, usercpu_time_millis: 38790, usercpu_time_millis_testing: 750, usercpu_time_millis_training: 38040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.1189, kappa: 0.0853, kb_relative_information_score: 24416.1433, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.0915, predictive_accuracy: 0.2204, prior_entropy: 3.5053, recall: 0.2204, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.22, root_relative_squared_error: 0.9864, scimark_benchmark: 931.7994, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.561, kappa: 0.5116, kb_relative_information_score: 158384.6602, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5631, predictive_accuracy: 0.5646, prior_entropy: 3.5053, recall: 0.5646, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.831, scimark_benchmark: 899.1108, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.4144, kappa: 0.3734, kb_relative_information_score: 112345.9317, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.4422, predictive_accuracy: 0.4455, prior_entropy: 3.5053, recall: 0.4455, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2482, root_relative_squared_error: 1.1128, scimark_benchmark: 939.3886, usercpu_time_millis: 196890, usercpu_time_millis_testing: 106050, usercpu_time_millis_training: 90840,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1350.2591, usercpu_time_millis: 130, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1306.9281, usercpu_time_millis: 140, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1350.2591, usercpu_time_millis: 130, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.5961, kappa: 0.5502, kb_relative_information_score: 160349.278, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.6017, predictive_accuracy: 0.5996, prior_entropy: 3.5053, recall: 0.5996, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8082, scimark_benchmark: 1322.3407, usercpu_time_millis: 31760, usercpu_time_millis_testing: 6650, usercpu_time_millis_training: 25110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.4144, kappa: 0.3734, kb_relative_information_score: 112345.9317, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.4422, predictive_accuracy: 0.4455, prior_entropy: 3.5053, recall: 0.4455, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2482, root_relative_squared_error: 1.1128, scimark_benchmark: 1321.8321, usercpu_time_millis: 220190, usercpu_time_millis_testing: 113650, usercpu_time_millis_training: 106540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.3336, kappa: 0.2763, kb_relative_information_score: 88578.2352, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.3354, predictive_accuracy: 0.3617, prior_entropy: 3.5053, recall: 0.3617, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.9238, scimark_benchmark: 1329.8008, usercpu_time_millis: 270, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1347.1763, usercpu_time_millis: 140, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.7109, kappa: 0.6772, kb_relative_information_score: 198717.6729, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.7111, predictive_accuracy: 0.7109, prior_entropy: 3.5053, recall: 0.7109, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.7609, scimark_benchmark: 1349.9643, usercpu_time_millis: 855390, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 854950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1354.5533, usercpu_time_millis: 140, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.561, kappa: 0.5116, kb_relative_information_score: 158384.6602, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5631, predictive_accuracy: 0.5646, prior_entropy: 3.5053, recall: 0.5646, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.831, scimark_benchmark: 1345.6844, usercpu_time_millis: 280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.3336, kappa: 0.2763, kb_relative_information_score: 88578.2352, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.3354, predictive_accuracy: 0.3617, prior_entropy: 3.5053, recall: 0.3617, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.9238, scimark_benchmark: 1306.9281, usercpu_time_millis: 270, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1317.5857, usercpu_time_millis: 140, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1313.11, usercpu_time_millis: 140, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1331.1314, usercpu_time_millis: 140, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.5823, kappa: 0.535, kb_relative_information_score: 163468.8661, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5828, predictive_accuracy: 0.585, prior_entropy: 3.5053, recall: 0.585, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.7855, scimark_benchmark: 1339.4412, usercpu_time_millis: 1170, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1310.6554, usercpu_time_millis: 130, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.5961, kappa: 0.5502, kb_relative_information_score: 160349.278, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.6017, predictive_accuracy: 0.5996, prior_entropy: 3.5053, recall: 0.5996, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8082, scimark_benchmark: 1351.3088, usercpu_time_millis: 30860, usercpu_time_millis_testing: 6450, usercpu_time_millis_training: 24410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.6966, kappa: 0.6624, kb_relative_information_score: 168408.8365, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.7009, predictive_accuracy: 0.6987, prior_entropy: 3.5053, recall: 0.6987, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.7385, scimark_benchmark: 1310.6554, usercpu_time_millis: 6760, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 5150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.561, kappa: 0.5116, kb_relative_information_score: 158384.6602, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5631, predictive_accuracy: 0.5646, prior_entropy: 3.5053, recall: 0.5646, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.831, scimark_benchmark: 1310.3168, usercpu_time_millis: 230, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.315, kappa: 0.2704, kb_relative_information_score: 89450.6865, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.311, predictive_accuracy: 0.3568, prior_entropy: 3.5053, recall: 0.3568, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2673, root_relative_squared_error: 1.1985, scimark_benchmark: 1342.8584, usercpu_time_millis: 6200, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 6130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.5613, kappa: 0.5119, kb_relative_information_score: 158401.3377, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5634, predictive_accuracy: 0.5649, prior_entropy: 3.5053, recall: 0.5649, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.831, scimark_benchmark: 1364.991, usercpu_time_millis: 3020, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 2940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.2568, kappa: 0.212, kb_relative_information_score: 69414.823, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.2881, predictive_accuracy: 0.3132, prior_entropy: 3.5053, recall: 0.3132, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.9482, scimark_benchmark: 1253.0071, usercpu_time_millis: 39410, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 39340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.5823, kappa: 0.535, kb_relative_information_score: 163468.8661, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5828, predictive_accuracy: 0.585, prior_entropy: 3.5053, recall: 0.585, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.7855, scimark_benchmark: 1367.3264, usercpu_time_millis: 1430, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1345.0202, usercpu_time_millis: 130, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.561, kappa: 0.5116, kb_relative_information_score: 158384.6602, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5631, predictive_accuracy: 0.5646, prior_entropy: 3.5053, recall: 0.5646, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.831, scimark_benchmark: 1330.8256, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.6966, kappa: 0.6624, kb_relative_information_score: 168408.8365, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.7009, predictive_accuracy: 0.6987, prior_entropy: 3.5053, recall: 0.6987, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.7385, scimark_benchmark: 1347.993, usercpu_time_millis: 7330, usercpu_time_millis_testing: 1830, usercpu_time_millis_training: 5500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 938.0414, usercpu_time_millis: 190, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.5234, kappa: 0.4735, kb_relative_information_score: 127495.4854, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.5342, predictive_accuracy: 0.5329, prior_entropy: 3.5053, recall: 0.5329, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.8436, scimark_benchmark: 1322.7257, usercpu_time_millis: 130, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.6966, kappa: 0.6624, kb_relative_information_score: 168408.8365, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.0995, number_of_instances: 280560, precision: 0.7009, predictive_accuracy: 0.6987, prior_entropy: 3.5053, recall: 0.6987, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.7385, scimark_benchmark: 1278.6629, usercpu_time_millis: 6670, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 4680,

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