Task
Supervised Classification on kropt

Supervised Classification on kropt

Task 2122 Supervised Classification kropt 201 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.51, kappa: 0.4567, kb_relative_information_score: 4840.7135, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5108, predictive_accuracy: 0.5154, prior_entropy: 3.5053, recall: 0.5154, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.8758, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.263, kappa: 0.2118, kb_relative_information_score: 2260.5339, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.2834, predictive_accuracy: 0.3139, prior_entropy: 3.5053, recall: 0.3139, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.9487, scimark_benchmark: 851.2074, usercpu_time_millis: 71820, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 71730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.3354, kappa: 0.2778, kb_relative_information_score: 2928.9455, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.3388, predictive_accuracy: 0.3631, prior_entropy: 3.5053, recall: 0.3631, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.924, scimark_benchmark: 941.6675, usercpu_time_millis: 290, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.5372, kappa: 0.485, kb_relative_information_score: 4999.7577, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5385, predictive_accuracy: 0.5407, prior_entropy: 3.5053, recall: 0.5407, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.8179, scimark_benchmark: 941.6675, usercpu_time_millis: 1670, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6585, kappa: 0.6207, kb_relative_information_score: 5360.4671, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.6622, predictive_accuracy: 0.6616, prior_entropy: 3.5053, recall: 0.6616, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.7608, scimark_benchmark: 931.771, usercpu_time_millis: 7830, usercpu_time_millis_testing: 2050, usercpu_time_millis_training: 5780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.406, kappa: 0.3639, kb_relative_information_score: 3604.2251, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.4313, predictive_accuracy: 0.4379, prior_entropy: 3.5053, recall: 0.4379, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2499, root_relative_squared_error: 1.12, scimark_benchmark: 974.2014, usercpu_time_millis: 282360, usercpu_time_millis_testing: 146730, usercpu_time_millis_training: 135630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 974.2014, usercpu_time_millis: 220, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 941.3847, usercpu_time_millis: 190, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 974.2014, usercpu_time_millis: 200, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 947.1781, usercpu_time_millis: 190, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.5627, kappa: 0.5134, kb_relative_information_score: 5006.5959, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5689, predictive_accuracy: 0.5668, prior_entropy: 3.5053, recall: 0.5668, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.8315, scimark_benchmark: 936.3373, usercpu_time_millis: 25530, usercpu_time_millis_testing: 2090, usercpu_time_millis_training: 23440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6585, kappa: 0.6207, kb_relative_information_score: 5360.4671, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.6622, predictive_accuracy: 0.6616, prior_entropy: 3.5053, recall: 0.6616, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.7608, scimark_benchmark: 943.1009, usercpu_time_millis: 7770, usercpu_time_millis_testing: 2110, usercpu_time_millis_training: 5660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.51, kappa: 0.4567, kb_relative_information_score: 4840.7135, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5108, predictive_accuracy: 0.5154, prior_entropy: 3.5053, recall: 0.5154, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.8758, scimark_benchmark: 819.5729, usercpu_time_millis: 330, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.263, kappa: 0.2118, kb_relative_information_score: 2260.5339, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.2834, predictive_accuracy: 0.3139, prior_entropy: 3.5053, recall: 0.3139, relative_absolute_error: 0.9125, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.9487, scimark_benchmark: 944.0133, usercpu_time_millis: 51370, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 51300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.406, kappa: 0.3639, kb_relative_information_score: 3604.2251, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.4313, predictive_accuracy: 0.4379, prior_entropy: 3.5053, recall: 0.4379, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2499, root_relative_squared_error: 1.12, scimark_benchmark: 927.2882, usercpu_time_millis: 213780, usercpu_time_millis_testing: 117090, usercpu_time_millis_training: 96690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.406, kappa: 0.3639, kb_relative_information_score: 3604.2251, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.4313, predictive_accuracy: 0.4379, prior_entropy: 3.5053, recall: 0.4379, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2499, root_relative_squared_error: 1.12, scimark_benchmark: 930.404, usercpu_time_millis: 199020, usercpu_time_millis_testing: 110470, usercpu_time_millis_training: 88550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 903.2737, usercpu_time_millis: 200, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 930.404, usercpu_time_millis: 190, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.5372, kappa: 0.485, kb_relative_information_score: 4999.7577, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5385, predictive_accuracy: 0.5407, prior_entropy: 3.5053, recall: 0.5407, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.8179, scimark_benchmark: 941.4991, usercpu_time_millis: 1480, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 932.438, usercpu_time_millis: 200, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.5627, kappa: 0.5134, kb_relative_information_score: 5006.5959, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5689, predictive_accuracy: 0.5668, prior_entropy: 3.5053, recall: 0.5668, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.8315, scimark_benchmark: 936.3213, usercpu_time_millis: 24160, usercpu_time_millis_testing: 2080, usercpu_time_millis_training: 22080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6585, kappa: 0.6207, kb_relative_information_score: 5360.4671, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.6622, predictive_accuracy: 0.6616, prior_entropy: 3.5053, recall: 0.6616, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.7608, scimark_benchmark: 945.6228, usercpu_time_millis: 7760, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 5770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8445, kappa: 0.827, kb_relative_information_score: 6979.1075, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.8451, predictive_accuracy: 0.8451, prior_entropy: 3.5053, recall: 0.8451, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.5688, scimark_benchmark: 934.695, usercpu_time_millis: 2350140, usercpu_time_millis_testing: 96540, usercpu_time_millis_training: 2253600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8468, kappa: 0.8294, kb_relative_information_score: 7037.737, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.8472, predictive_accuracy: 0.8473, prior_entropy: 3.5053, recall: 0.8473, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.5622, scimark_benchmark: 859.5223, usercpu_time_millis: 1181620, usercpu_time_millis_testing: 45830, usercpu_time_millis_training: 1135790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8459, kappa: 0.8282, kb_relative_information_score: 7073.2033, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.8465, predictive_accuracy: 0.8462, prior_entropy: 3.5053, recall: 0.8462, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.125, root_relative_squared_error: 0.56, scimark_benchmark: 939.7883, usercpu_time_millis: 687810, usercpu_time_millis_testing: 15770, usercpu_time_millis_training: 672040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8327, kappa: 0.8133, kb_relative_information_score: 7012.6953, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.8332, predictive_accuracy: 0.8329, prior_entropy: 3.5053, recall: 0.8329, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.128, root_relative_squared_error: 0.5734, scimark_benchmark: 939.0589, usercpu_time_millis: 280530, usercpu_time_millis_testing: 7810, usercpu_time_millis_training: 272720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8143, kappa: 0.7931, kb_relative_information_score: 6980.9595, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.8145, predictive_accuracy: 0.8148, prior_entropy: 3.5053, recall: 0.8148, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.131, root_relative_squared_error: 0.5869, scimark_benchmark: 889.4922, usercpu_time_millis: 137670, usercpu_time_millis_testing: 4650, usercpu_time_millis_training: 133020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.2844, kappa: 0.2134, kb_relative_information_score: 2367.3243, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.2837, predictive_accuracy: 0.3002, prior_entropy: 3.5053, recall: 0.3002, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.958, scimark_benchmark: 929.0296, usercpu_time_millis: 9870, usercpu_time_millis_testing: 940, usercpu_time_millis_training: 8930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.0632, kappa: 0.037, kb_relative_information_score: 740.591, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.0386, predictive_accuracy: 0.1833, prior_entropy: 3.5053, recall: 0.1833, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9932, scimark_benchmark: 926.5859, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.0632, kappa: 0.037, kb_relative_information_score: 740.591, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.0386, predictive_accuracy: 0.1833, prior_entropy: 3.5053, recall: 0.1833, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9932, scimark_benchmark: 938.3115, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.0632, kappa: 0.037, kb_relative_information_score: 740.591, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.0386, predictive_accuracy: 0.1833, prior_entropy: 3.5053, recall: 0.1833, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9932, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.0632, kappa: 0.037, kb_relative_information_score: 740.591, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.0386, predictive_accuracy: 0.1833, prior_entropy: 3.5053, recall: 0.1833, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9932, scimark_benchmark: 938.3115, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0479, kb_relative_information_score: 847.9113, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.028, predictive_accuracy: 0.1672, prior_entropy: 3.5053, recall: 0.1672, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.3042, root_relative_squared_error: 1.3633, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.3902, kappa: 0.339, kb_relative_information_score: 2566.553, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.4623, predictive_accuracy: 0.4246, prior_entropy: 3.5053, recall: 0.4246, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.206, root_relative_squared_error: 0.923, scimark_benchmark: 1299.5783, usercpu_time_millis: 1230, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.6453, kappa: 0.6043, kb_relative_information_score: 5980.2791, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.646, predictive_accuracy: 0.6455, prior_entropy: 3.5053, recall: 0.6455, relative_absolute_error: 0.4065, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.8473, scimark_benchmark: 1313.5726, usercpu_time_millis: 1014590, usercpu_time_millis_testing: 730, usercpu_time_millis_training: 1013860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.4119, kappa: 0.324, kb_relative_information_score: 3288.1749, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5449, predictive_accuracy: 0.3928, prior_entropy: 3.5053, recall: 0.3928, relative_absolute_error: 0.6777, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2597, root_relative_squared_error: 1.164, scimark_benchmark: 1321.6263, usercpu_time_millis: 320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.3532, kappa: 0.299, kb_relative_information_score: 3084.1188, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.3533, predictive_accuracy: 0.3798, prior_entropy: 3.5053, recall: 0.3798, relative_absolute_error: 0.8602, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.9149, scimark_benchmark: 942.9518, usercpu_time_millis: 7680, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 7610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.6879, kappa: 0.6529, kb_relative_information_score: 5181.6179, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.6932, predictive_accuracy: 0.6906, prior_entropy: 3.5053, recall: 0.6906, relative_absolute_error: 0.6972, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.7734, scimark_benchmark: 1304.6687, usercpu_time_millis: 122520, usercpu_time_millis_testing: 122510, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.0632, kappa: 0.037, kb_relative_information_score: 740.591, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.0386, predictive_accuracy: 0.1833, prior_entropy: 3.5053, recall: 0.1833, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9932, scimark_benchmark: 825.5282, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.271, kappa: 0.2306, kb_relative_information_score: 1846.9346, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.2447, predictive_accuracy: 0.3247, prior_entropy: 3.5053, recall: 0.3247, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.9508, scimark_benchmark: 1333.5799, usercpu_time_millis: 3120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.4159, kappa: 0.3714, kb_relative_information_score: 2934.6873, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.4063, predictive_accuracy: 0.4418, prior_entropy: 3.5053, recall: 0.4418, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.9081, scimark_benchmark: 1334.8272, usercpu_time_millis: 2380, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 2280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.0632, kappa: 0.037, kb_relative_information_score: 742.62, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.0386, predictive_accuracy: 0.1833, prior_entropy: 3.5053, recall: 0.1833, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9932, scimark_benchmark: 1329.0992, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.3339, kappa: 0.2764, kb_relative_information_score: 2914.2496, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.3368, predictive_accuracy: 0.3621, prior_entropy: 3.5053, recall: 0.3621, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.9243, scimark_benchmark: 922.1419, usercpu_time_millis: 220, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.51, kappa: 0.4567, kb_relative_information_score: 4840.7135, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5108, predictive_accuracy: 0.5154, prior_entropy: 3.5053, recall: 0.5154, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.8758, scimark_benchmark: 1320.9387, usercpu_time_millis: 250, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6585, kappa: 0.6207, kb_relative_information_score: 5360.4671, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.6622, predictive_accuracy: 0.6616, prior_entropy: 3.5053, recall: 0.6616, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.7608, scimark_benchmark: 1281.7531, usercpu_time_millis: 8620, usercpu_time_millis_testing: 3190, usercpu_time_millis_training: 5430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.0632, kappa: 0.037, kb_relative_information_score: 740.591, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.0386, predictive_accuracy: 0.1833, prior_entropy: 3.5053, recall: 0.1833, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.9932, scimark_benchmark: 912.7324, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.396, kappa: 0.3313, kb_relative_information_score: 3200.1047, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5592, predictive_accuracy: 0.4189, prior_entropy: 3.5053, recall: 0.4189, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.9044, scimark_benchmark: 938.0414, usercpu_time_millis: 112200, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 111860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.0162, kb_relative_information_score: 402.4207, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.0089, predictive_accuracy: 0.0942, prior_entropy: 3.5053, recall: 0.0942, relative_absolute_error: 1.0466, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2277, root_relative_squared_error: 1.0203, scimark_benchmark: 932.0242, usercpu_time_millis: 130, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.4429, kappa: 0.3982, kb_relative_information_score: 3177.9008, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.4401, predictive_accuracy: 0.4654, prior_entropy: 3.5053, recall: 0.4654, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.8942, scimark_benchmark: 940.0008, usercpu_time_millis: 9740, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 9450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7643, f_measure: 0.4113, kappa: 0.3539, kb_relative_information_score: 3889.2997, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.4377, predictive_accuracy: 0.4187, prior_entropy: 3.5053, recall: 0.4187, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.9372, scimark_benchmark: 938.343, usercpu_time_millis: 2225150, usercpu_time_millis_testing: 9010, usercpu_time_millis_training: 2216140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.51, kappa: 0.4567, kb_relative_information_score: 4840.7135, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5108, predictive_accuracy: 0.5154, prior_entropy: 3.5053, recall: 0.5154, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.8758, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.6585, kappa: 0.6207, kb_relative_information_score: 5360.4671, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.6622, predictive_accuracy: 0.6616, prior_entropy: 3.5053, recall: 0.6616, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.7608, scimark_benchmark: 943.1009, usercpu_time_millis: 7770, usercpu_time_millis_testing: 2110, usercpu_time_millis_training: 5660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.51, kappa: 0.4567, kb_relative_information_score: 4840.7135, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5108, predictive_accuracy: 0.5154, prior_entropy: 3.5053, recall: 0.5154, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.8758, scimark_benchmark: 819.5729, usercpu_time_millis: 330, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 941.3847, usercpu_time_millis: 190, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.3354, kappa: 0.2778, kb_relative_information_score: 2928.9455, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.3388, predictive_accuracy: 0.3631, prior_entropy: 3.5053, recall: 0.3631, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.924, scimark_benchmark: 941.6675, usercpu_time_millis: 290, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 974.2014, usercpu_time_millis: 200, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.5627, kappa: 0.5134, kb_relative_information_score: 5006.5959, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5689, predictive_accuracy: 0.5668, prior_entropy: 3.5053, recall: 0.5668, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.8315, scimark_benchmark: 936.3373, usercpu_time_millis: 25530, usercpu_time_millis_testing: 2090, usercpu_time_millis_training: 23440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 947.1781, usercpu_time_millis: 190, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.5372, kappa: 0.485, kb_relative_information_score: 4999.7577, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5385, predictive_accuracy: 0.5407, prior_entropy: 3.5053, recall: 0.5407, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.8179, scimark_benchmark: 941.6675, usercpu_time_millis: 1670, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.5196, kappa: 0.4702, kb_relative_information_score: 4204.3819, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.0995, number_of_instances: 9258, precision: 0.5286, predictive_accuracy: 0.5298, prior_entropy: 3.5053, recall: 0.5298, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2231, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.8453, scimark_benchmark: 934.695,

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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

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Use one of our APIs to download data from OpenML and upload your results

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