Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 1780 Supervised Classification mfeat-karhunen 306 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.922, kappa: 0.9134, kb_relative_information_score: 0.9214, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, weighted_recall: 0.9221, number_of_instances: 10000, precision: 0.9221, predictive_accuracy: 0.9221, prior_entropy: 3.3219, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.3986, scimark_benchmark: 1015.7068, unweighted_recall: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.6978, kappa: 0.6641, kb_relative_information_score: 6849.3366, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6989, predictive_accuracy: 0.6977, prior_entropy: 3.3219, recall: 0.6977, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.7638, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.761, kappa: 0.735, kb_relative_information_score: 7061.3779, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7628, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.6246, scimark_benchmark: 851.2074, usercpu_time_millis: 4750, usercpu_time_millis_training: 4750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9268, kappa: 0.9126, kb_relative_information_score: 9176.9889, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9442, predictive_accuracy: 0.9213, prior_entropy: 3.3219, recall: 0.9213, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.4182, scimark_benchmark: 916.0735, usercpu_time_millis: 8910, usercpu_time_millis_testing: 2720, usercpu_time_millis_training: 6190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8492, kappa: 0.8329, kb_relative_information_score: 7737.7966, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8496, predictive_accuracy: 0.8496, prior_entropy: 3.3219, recall: 0.8496, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5264, scimark_benchmark: 941.6675, usercpu_time_millis: 1060, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9511, kappa: 0.9457, kb_relative_information_score: 7698.3619, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9513, predictive_accuracy: 0.9511, prior_entropy: 3.3219, recall: 0.9511, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4867, scimark_benchmark: 931.771, usercpu_time_millis: 1860, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9268, kappa: 0.9126, kb_relative_information_score: 9176.9889, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9442, predictive_accuracy: 0.9213, prior_entropy: 3.3219, recall: 0.9213, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.4182, scimark_benchmark: 937.5117, usercpu_time_millis: 10340, usercpu_time_millis_testing: 6060, usercpu_time_millis_training: 4280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7961, kappa: 0.7729, kb_relative_information_score: 7687.7251, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.798, predictive_accuracy: 0.7956, prior_entropy: 3.3219, recall: 0.7956, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833, scimark_benchmark: 947.1781, usercpu_time_millis: 84310, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 83880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9511, kappa: 0.9457, kb_relative_information_score: 7698.3619, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9513, predictive_accuracy: 0.9511, prior_entropy: 3.3219, recall: 0.9511, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4867, scimark_benchmark: 943.1009, usercpu_time_millis: 2010, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.6978, kappa: 0.6641, kb_relative_information_score: 6849.3366, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6989, predictive_accuracy: 0.6977, prior_entropy: 3.3219, recall: 0.6977, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.7638, scimark_benchmark: 819.5729, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.761, kappa: 0.735, kb_relative_information_score: 7061.3779, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7628, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.6246, scimark_benchmark: 936.2574, usercpu_time_millis: 6070, usercpu_time_millis_training: 6070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9268, kappa: 0.9126, kb_relative_information_score: 9176.9889, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9442, predictive_accuracy: 0.9213, prior_entropy: 3.3219, recall: 0.9213, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.4182, scimark_benchmark: 927.2882, usercpu_time_millis: 11590, usercpu_time_millis_testing: 6610, usercpu_time_millis_training: 4980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 930.404, usercpu_time_millis: 420, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 941.4991, usercpu_time_millis: 370, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8492, kappa: 0.8329, kb_relative_information_score: 7737.7966, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8496, predictive_accuracy: 0.8496, prior_entropy: 3.3219, recall: 0.8496, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5264, scimark_benchmark: 941.4991, usercpu_time_millis: 1090, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 932.438, usercpu_time_millis: 370, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7961, kappa: 0.7729, kb_relative_information_score: 7687.7251, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.798, predictive_accuracy: 0.7956, prior_entropy: 3.3219, recall: 0.7956, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833, scimark_benchmark: 1051.249, usercpu_time_millis: 172860, usercpu_time_millis_testing: 1760, usercpu_time_millis_training: 171100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9511, kappa: 0.9457, kb_relative_information_score: 7698.3619, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9513, predictive_accuracy: 0.9511, prior_entropy: 3.3219, recall: 0.9511, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4867, scimark_benchmark: 936.9595, usercpu_time_millis: 1960, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9629, kappa: 0.9588, kb_relative_information_score: 8114.6892, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.963, predictive_accuracy: 0.9629, prior_entropy: 3.3219, recall: 0.9629, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.4295, scimark_benchmark: 938.988, usercpu_time_millis: 113860, usercpu_time_millis_testing: 31210, usercpu_time_millis_training: 82650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.962, kappa: 0.9578, kb_relative_information_score: 8121.9175, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9621, predictive_accuracy: 0.962, prior_entropy: 3.3219, recall: 0.962, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.4307, scimark_benchmark: 901.6243, usercpu_time_millis: 63240, usercpu_time_millis_testing: 17580, usercpu_time_millis_training: 45660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9563, kappa: 0.9514, kb_relative_information_score: 8106.3876, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9565, predictive_accuracy: 0.9563, prior_entropy: 3.3219, recall: 0.9563, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.4369, scimark_benchmark: 941.589, usercpu_time_millis: 27270, usercpu_time_millis_testing: 7610, usercpu_time_millis_training: 19660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9443, kappa: 0.9381, kb_relative_information_score: 8071.7574, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9445, predictive_accuracy: 0.9443, prior_entropy: 3.3219, recall: 0.9443, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.4497, scimark_benchmark: 911.2316, usercpu_time_millis: 12080, usercpu_time_millis_testing: 1790, usercpu_time_millis_training: 10290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9254, kappa: 0.9171, kb_relative_information_score: 8028.0419, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9255, predictive_accuracy: 0.9254, prior_entropy: 3.3219, recall: 0.9254, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4712, scimark_benchmark: 926.5859, usercpu_time_millis: 5970, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 5170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 929.0296, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.1131, kappa: 0.1046, kb_relative_information_score: 2043.0273, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0953, predictive_accuracy: 0.1941, prior_entropy: 3.3219, recall: 0.1941, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9667, scimark_benchmark: 938.3115, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.1131, kappa: 0.1046, kb_relative_information_score: 2043.0273, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0953, predictive_accuracy: 0.1941, prior_entropy: 3.3219, recall: 0.1941, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9667, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.1131, kappa: 0.1046, kb_relative_information_score: 2043.0273, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0953, predictive_accuracy: 0.1941, prior_entropy: 3.3219, recall: 0.1941, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9667, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.1131, kappa: 0.1046, kb_relative_information_score: 2043.0273, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0953, predictive_accuracy: 0.1941, prior_entropy: 3.3219, recall: 0.1941, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9667, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.1131, kappa: 0.1046, kb_relative_information_score: 2043.0273, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0953, predictive_accuracy: 0.1941, prior_entropy: 3.3219, recall: 0.1941, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.29, root_relative_squared_error: 0.9667, scimark_benchmark: 935.6052, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 588.1826, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9118, kappa: 0.9021, kb_relative_information_score: 8361.051, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.912, predictive_accuracy: 0.9119, prior_entropy: 3.3219, recall: 0.9119, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.4393, scimark_benchmark: 926.5859, usercpu_time_millis: 5560, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 5310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9113, kappa: 0.9017, kb_relative_information_score: 7568.6731, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9116, predictive_accuracy: 0.9115, prior_entropy: 3.3219, recall: 0.9115, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.5141, scimark_benchmark: 933.0918, usercpu_time_millis: 34920, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 34830,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.6978, kappa: 0.6641, kb_relative_information_score: 6849.3366, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6989, predictive_accuracy: 0.6977, prior_entropy: 3.3219, recall: 0.6977, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.7638, scimark_benchmark: 899.1108, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.904, kappa: 0.8929, kb_relative_information_score: 9062.3836, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.905, predictive_accuracy: 0.9036, prior_entropy: 3.3219, recall: 0.9036, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4142, scimark_benchmark: 1331.2559, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1322.3407, usercpu_time_millis: 280, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1342.8584, usercpu_time_millis: 310, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1319.4538, usercpu_time_millis: 290, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7961, kappa: 0.7729, kb_relative_information_score: 7687.7251, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.798, predictive_accuracy: 0.7956, prior_entropy: 3.3219, recall: 0.7956, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833, scimark_benchmark: 1332.1612, usercpu_time_millis: 120520, usercpu_time_millis_testing: 1480, usercpu_time_millis_training: 119040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9268, kappa: 0.9126, kb_relative_information_score: 9176.9889, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9442, predictive_accuracy: 0.9213, prior_entropy: 3.3219, recall: 0.9213, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.4182, scimark_benchmark: 1331.1314, usercpu_time_millis: 8600, usercpu_time_millis_testing: 4280, usercpu_time_millis_training: 4320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.904, kappa: 0.8929, kb_relative_information_score: 9062.3836, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.905, predictive_accuracy: 0.9036, prior_entropy: 3.3219, recall: 0.9036, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4142, scimark_benchmark: 1325.4787, usercpu_time_millis: 170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1321.8321, usercpu_time_millis: 280, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1326.2019, usercpu_time_millis: 250, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7961, kappa: 0.7729, kb_relative_information_score: 7687.7251, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.798, predictive_accuracy: 0.7956, prior_entropy: 3.3219, recall: 0.7956, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833, scimark_benchmark: 1346.4374, usercpu_time_millis: 118940, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 117450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9511, kappa: 0.9457, kb_relative_information_score: 7698.3619, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9513, predictive_accuracy: 0.9511, prior_entropy: 3.3219, recall: 0.9511, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4867, scimark_benchmark: 1323.5075, usercpu_time_millis: 2160, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.761, kappa: 0.735, kb_relative_information_score: 7061.3779, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7628, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.6246, scimark_benchmark: 1317.7919, usercpu_time_millis: 5160, usercpu_time_millis_training: 5160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9268, kappa: 0.9126, kb_relative_information_score: 9176.9889, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9442, predictive_accuracy: 0.9213, prior_entropy: 3.3219, recall: 0.9213, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.4182, scimark_benchmark: 1336.4564, usercpu_time_millis: 11300, usercpu_time_millis_testing: 7710, usercpu_time_millis_training: 3590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1336.4564, usercpu_time_millis: 300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1299.6719, usercpu_time_millis: 280, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1342.6744, usercpu_time_millis: 270, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1313.8988, usercpu_time_millis: 270, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.7229, kappa: 0.6917, kb_relative_information_score: 7123.5093, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7238, predictive_accuracy: 0.7225, prior_entropy: 3.3219, recall: 0.7225, relative_absolute_error: 0.3215, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.7512, scimark_benchmark: 1348.2804, usercpu_time_millis: 520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7961, kappa: 0.7729, kb_relative_information_score: 7687.7251, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.798, predictive_accuracy: 0.7956, prior_entropy: 3.3219, recall: 0.7956, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833, scimark_benchmark: 1339.2472, usercpu_time_millis: 118510, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 117020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9511, kappa: 0.9457, kb_relative_information_score: 7698.3619, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9513, predictive_accuracy: 0.9511, prior_entropy: 3.3219, recall: 0.9511, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4867, scimark_benchmark: 1327.6367, usercpu_time_millis: 1660, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9477, kappa: 0.9419, kb_relative_information_score: 9490.3936, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.948, predictive_accuracy: 0.9477, prior_entropy: 3.3219, recall: 0.9477, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.3015, scimark_benchmark: 1373.7859, usercpu_time_millis: 30820, usercpu_time_millis_testing: 26700, usercpu_time_millis_training: 4120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9268, kappa: 0.9126, kb_relative_information_score: 9176.9889, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9442, predictive_accuracy: 0.9213, prior_entropy: 3.3219, recall: 0.9213, relative_absolute_error: 0.0874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.4182, scimark_benchmark: 1334.1324, usercpu_time_millis: 12950, usercpu_time_millis_testing: 9650, usercpu_time_millis_training: 3300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1347.993, usercpu_time_millis: 300, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9408, kappa: 0.9342, kb_relative_information_score: 9425.5583, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9411, predictive_accuracy: 0.9408, prior_entropy: 3.3219, recall: 0.9408, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.3211, scimark_benchmark: 1347.993, usercpu_time_millis: 290, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7961, kappa: 0.7729, kb_relative_information_score: 7687.7251, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.798, predictive_accuracy: 0.7956, prior_entropy: 3.3219, recall: 0.7956, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833, scimark_benchmark: 1260.1387, usercpu_time_millis: 118320, usercpu_time_millis_testing: 1540, usercpu_time_millis_training: 116780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7961, kappa: 0.7729, kb_relative_information_score: 7687.7251, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.798, predictive_accuracy: 0.7956, prior_entropy: 3.3219, recall: 0.7956, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833, scimark_benchmark: 940.3347, usercpu_time_millis: 85000, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 84570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9511, kappa: 0.9457, kb_relative_information_score: 7698.3619, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9513, predictive_accuracy: 0.9511, prior_entropy: 3.3219, recall: 0.9511, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4867, scimark_benchmark: 1326.8946, usercpu_time_millis: 1810, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 1720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.5784, kappa: 0.6041, kb_relative_information_score: 3482.7362, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7216, predictive_accuracy: 0.6437, prior_entropy: 3.3219, recall: 0.6437, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2672, root_relative_squared_error: 0.8908, scimark_benchmark: 1227.9507, usercpu_time_millis: 241070, usercpu_time_millis_testing: 241060, usercpu_time_millis_training: 10,

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