Task
Supervised Classification on sick

Supervised Classification on sick

Task 3043 Supervised Classification sick 337 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9726, kappa: 0.7644, kb_relative_information_score: 835.255, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9731, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5867, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9774, kappa: 0.8151, kb_relative_information_score: 568.057, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5123, scimark_benchmark: 972.587, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9796, kappa: 0.832, kb_relative_information_score: 810.7457, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9794, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.124, root_relative_squared_error: 0.4995, scimark_benchmark: 851.2074, usercpu_time_millis: 1540, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 904.6764, usercpu_time_millis: 4780, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 931.771, usercpu_time_millis: 4010, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 2730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 941.6675, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 961.2774, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.4988, scimark_benchmark: 941.6675, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.966, kappa: 0.7034, kb_relative_information_score: 502.6481, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9667, predictive_accuracy: 0.9687, prior_entropy: 0.3333, recall: 0.9687, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.6467, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 947.1781, usercpu_time_millis: 4660, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 3230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9759, kappa: 0.8042, kb_relative_information_score: 613.8992, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.3333, recall: 0.9759, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.6075, scimark_benchmark: 932.438, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 974.2014, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9696, kappa: 0.7416, kb_relative_information_score: 743.1531, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9694, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6245, scimark_benchmark: 936.3373, usercpu_time_millis: 8010, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 887.8349, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.5025, scimark_benchmark: 947.1781, usercpu_time_millis: 1250, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9726, kappa: 0.7644, kb_relative_information_score: 835.255, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9731, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5867, scimark_benchmark: 819.5729, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9774, kappa: 0.8151, kb_relative_information_score: 568.057, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5123, scimark_benchmark: 935.2002, usercpu_time_millis: 310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9796, kappa: 0.832, kb_relative_information_score: 810.7457, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9794, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.124, root_relative_squared_error: 0.4995, scimark_benchmark: 906.5979, usercpu_time_millis: 1220, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 908.9569, usercpu_time_millis: 6930, usercpu_time_millis_testing: 2250, usercpu_time_millis_training: 4680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 919.3788, usercpu_time_millis: 11350, usercpu_time_millis_testing: 5400, usercpu_time_millis_training: 5950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9759, kappa: 0.8042, kb_relative_information_score: 613.8992, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.3333, recall: 0.9759, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.6075, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 930.404, usercpu_time_millis: 70, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 961.2774, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.4988, scimark_benchmark: 933.3455, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.966, kappa: 0.7034, kb_relative_information_score: 502.6481, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9667, predictive_accuracy: 0.9687, prior_entropy: 0.3333, recall: 0.9687, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.6467, scimark_benchmark: 945.6228, usercpu_time_millis: 1431050, usercpu_time_millis_testing: 4150, usercpu_time_millis_training: 1426900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 944.0133, usercpu_time_millis: 80, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9696, kappa: 0.7416, kb_relative_information_score: 743.1531, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9694, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6245, scimark_benchmark: 935.5664, usercpu_time_millis: 8850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 8810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 887.8349, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.5025, scimark_benchmark: 1051.249, usercpu_time_millis: 1620, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 1240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9842, kappa: 0.8677, kb_relative_information_score: 1006.5717, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3333, recall: 0.9847, relative_absolute_error: 0.2074, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.4299, scimark_benchmark: 938.988, usercpu_time_millis: 65870, usercpu_time_millis_testing: 26580, usercpu_time_millis_training: 39290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9833, kappa: 0.8599, kb_relative_information_score: 1013.7651, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3333, recall: 0.9839, relative_absolute_error: 0.1994, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.4182, scimark_benchmark: 942.2392, usercpu_time_millis: 37760, usercpu_time_millis_testing: 16650, usercpu_time_millis_training: 21110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9842, kappa: 0.8677, kb_relative_information_score: 1009.3234, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9843, predictive_accuracy: 0.9847, prior_entropy: 0.3333, recall: 0.9847, relative_absolute_error: 0.1973, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.108, root_relative_squared_error: 0.435, scimark_benchmark: 939.7241, usercpu_time_millis: 12200, usercpu_time_millis_testing: 3030, usercpu_time_millis_training: 9170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9833, kappa: 0.8599, kb_relative_information_score: 994.6806, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3333, recall: 0.9839, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.4415, scimark_benchmark: 914.3583, usercpu_time_millis: 7320, usercpu_time_millis_testing: 1870, usercpu_time_millis_training: 5450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9849, kappa: 0.8724, kb_relative_information_score: 938.1114, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9854, predictive_accuracy: 0.9855, prior_entropy: 0.3333, recall: 0.9855, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.4533, scimark_benchmark: 889.4922, usercpu_time_millis: 3120, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 2550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9718, kappa: 0.7586, kb_relative_information_score: 879.7679, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9721, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.5668, scimark_benchmark: 941.9549, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9718, kappa: 0.7586, kb_relative_information_score: 879.7679, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9721, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.5668, scimark_benchmark: 926.5859, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9718, kappa: 0.7586, kb_relative_information_score: 879.7679, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9721, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.5668, scimark_benchmark: 936.7184, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9718, kappa: 0.7586, kb_relative_information_score: 879.7679, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9721, predictive_accuracy: 0.9735, prior_entropy: 0.3333, recall: 0.9735, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.5668, scimark_benchmark: 894.7131, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9696, kappa: 0.7416, kb_relative_information_score: 743.1531, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9694, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6245, scimark_benchmark: 1310.6554, usercpu_time_millis: 10100, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 887.8349, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.5025, scimark_benchmark: 1310.6554, usercpu_time_millis: 810, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9774, kappa: 0.8151, kb_relative_information_score: 568.057, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9773, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.5123, scimark_benchmark: 1350.2591, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9759, kappa: 0.8042, kb_relative_information_score: 613.8992, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.3333, recall: 0.9759, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.6075, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1316.5668, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1306.9281, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9796, kappa: 0.832, kb_relative_information_score: 810.7457, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9794, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.3467, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.124, root_relative_squared_error: 0.4995, scimark_benchmark: 1345.6844, usercpu_time_millis: 1120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1345.6844, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1331.1314, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9696, kappa: 0.7416, kb_relative_information_score: 743.1531, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9694, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6245, scimark_benchmark: 1342.2845, usercpu_time_millis: 10520, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 887.8349, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.5025, scimark_benchmark: 1320.8283, usercpu_time_millis: 950, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 1352.9101, usercpu_time_millis: 8710, usercpu_time_millis_testing: 1430, usercpu_time_millis_training: 7280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 887.8349, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.5025, scimark_benchmark: 1303.9481, usercpu_time_millis: 930, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.9726, kappa: 0.7644, kb_relative_information_score: 835.255, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9731, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.2984, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.5867, scimark_benchmark: 1348.2804, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 1397.3209, usercpu_time_millis: 3740, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 2250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1299.3719, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5057, f_measure: 0.9038, kappa: 0.0207, kb_relative_information_score: 296.6182, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9061, predictive_accuracy: 0.9341, prior_entropy: 0.3333, recall: 0.9341, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.2567, root_relative_squared_error: 1.0345, scimark_benchmark: 1352.06, usercpu_time_millis: 4580, usercpu_time_millis_testing: 1320, usercpu_time_millis_training: 3260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1260.1387, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1260.1387, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1354.3488, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.9696, kappa: 0.7416, kb_relative_information_score: 743.1531, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9694, predictive_accuracy: 0.9711, prior_entropy: 0.3333, recall: 0.9711, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.155, root_relative_squared_error: 0.6245, scimark_benchmark: 1354.3488, usercpu_time_millis: 10320, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 887.8349, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.3066, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.5025, scimark_benchmark: 942.9708, usercpu_time_millis: 1560, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 961.2774, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.4988, scimark_benchmark: 1314.7093, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.966, kappa: 0.7034, kb_relative_information_score: 502.6481, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9667, predictive_accuracy: 0.9687, prior_entropy: 0.3333, recall: 0.9687, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.6467, scimark_benchmark: 1335.5424, usercpu_time_millis: 615990, usercpu_time_millis_testing: 3340, usercpu_time_millis_training: 612650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.9759, kappa: 0.8042, kb_relative_information_score: 613.8992, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.3333, recall: 0.9759, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.6075, scimark_benchmark: 918.0213, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 918.0213, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1312.2688, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 933.1165, usercpu_time_millis: 110, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9763, kappa: 0.8052, kb_relative_information_score: 737.091, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.9761, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.3255, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.5897, scimark_benchmark: 1322.7383, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9759, kappa: 0.7912, kb_relative_information_score: 961.2774, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1193, number_of_instances: 1244, precision: 0.977, predictive_accuracy: 0.9775, prior_entropy: 0.3333, recall: 0.9775, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.2482, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.4988, scimark_benchmark: 1322.7383, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,

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