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Supervised Classification on fri_c4_500_50

Supervised Classification on fri_c4_500_50

Task 4375 Supervised Classification fri_c4_500_50 216 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8358, kappa: 0.6708, kb_relative_information_score: 2813.3966, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8359, predictive_accuracy: 0.8358, prior_entropy: 0.9978, recall: 0.8358, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7332, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8516, kappa: 0.7024, kb_relative_information_score: 2501.3843, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8517, predictive_accuracy: 0.8516, prior_entropy: 0.9978, recall: 0.8516, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.69, scimark_benchmark: 972.587, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8415, kappa: 0.682, kb_relative_information_score: 2893.6276, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8416, prior_entropy: 0.9978, recall: 0.8416, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6779, scimark_benchmark: 934.3687, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6112, kappa: 0.2199, kb_relative_information_score: 1116.501, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.6123, predictive_accuracy: 0.6134, prior_entropy: 0.9978, recall: 0.6134, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.2455, scimark_benchmark: 944.1067, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6112, kappa: 0.2199, kb_relative_information_score: 1116.501, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.6123, predictive_accuracy: 0.6134, prior_entropy: 0.9978, recall: 0.6134, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.2455, scimark_benchmark: 916.0735, usercpu_time_millis: 330, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.853, kappa: 0.7049, kb_relative_information_score: 2677.1068, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8533, predictive_accuracy: 0.8532, prior_entropy: 0.9978, recall: 0.8532, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6675, scimark_benchmark: 941.6675, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.627, kappa: 0.2516, kb_relative_information_score: 979.5418, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.627, predictive_accuracy: 0.627, prior_entropy: 0.9978, recall: 0.627, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.982, scimark_benchmark: 904.6764, usercpu_time_millis: 1640, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7814, kappa: 0.5613, kb_relative_information_score: 2538.8584, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9978, recall: 0.7814, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8449, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6112, kappa: 0.2199, kb_relative_information_score: 1116.501, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.6123, predictive_accuracy: 0.6134, prior_entropy: 0.9978, recall: 0.6134, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.2455, scimark_benchmark: 941.3847, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6112, kappa: 0.2199, kb_relative_information_score: 1116.501, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.6123, predictive_accuracy: 0.6134, prior_entropy: 0.9978, recall: 0.6134, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.2455, scimark_benchmark: 936.3373, usercpu_time_millis: 340, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8096, kappa: 0.6177, kb_relative_information_score: 2718.5807, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8098, predictive_accuracy: 0.8098, prior_entropy: 0.9978, recall: 0.8098, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7068, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8352, kappa: 0.6694, kb_relative_information_score: 1613.3448, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8352, predictive_accuracy: 0.8352, prior_entropy: 0.9978, recall: 0.8352, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.773, scimark_benchmark: 943.1009, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8358, kappa: 0.6708, kb_relative_information_score: 2813.3966, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8359, predictive_accuracy: 0.8358, prior_entropy: 0.9978, recall: 0.8358, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7332, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8516, kappa: 0.7024, kb_relative_information_score: 2501.3843, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8517, predictive_accuracy: 0.8516, prior_entropy: 0.9978, recall: 0.8516, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.69, scimark_benchmark: 908.9569, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8415, kappa: 0.682, kb_relative_information_score: 2893.6276, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8416, prior_entropy: 0.9978, recall: 0.8416, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6779, scimark_benchmark: 938.1282, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6112, kappa: 0.2199, kb_relative_information_score: 1116.501, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.6123, predictive_accuracy: 0.6134, prior_entropy: 0.9978, recall: 0.6134, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.2455, scimark_benchmark: 938.1282, usercpu_time_millis: 500, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6112, kappa: 0.2199, kb_relative_information_score: 1116.501, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.6123, predictive_accuracy: 0.6134, prior_entropy: 0.9978, recall: 0.6134, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.2455, scimark_benchmark: 934.5964, usercpu_time_millis: 320, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8096, kappa: 0.6177, kb_relative_information_score: 2718.5807, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8098, predictive_accuracy: 0.8098, prior_entropy: 0.9978, recall: 0.8098, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7068, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.853, kappa: 0.7049, kb_relative_information_score: 2677.1068, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8533, predictive_accuracy: 0.8532, prior_entropy: 0.9978, recall: 0.8532, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6675, scimark_benchmark: 903.2737, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.627, kappa: 0.2516, kb_relative_information_score: 979.5418, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.627, predictive_accuracy: 0.627, prior_entropy: 0.9978, recall: 0.627, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.982, scimark_benchmark: 905.2959, usercpu_time_millis: 1670, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7814, kappa: 0.5613, kb_relative_information_score: 2538.8584, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9978, recall: 0.7814, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8449, scimark_benchmark: 936.9595, usercpu_time_millis: 810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8352, kappa: 0.6694, kb_relative_information_score: 1613.3448, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8352, predictive_accuracy: 0.8352, prior_entropy: 0.9978, recall: 0.8352, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.773, scimark_benchmark: 938.988, usercpu_time_millis: 320, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7802, kappa: 0.5599, kb_relative_information_score: 1287.6827, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.7815, predictive_accuracy: 0.78, prior_entropy: 0.9978, recall: 0.78, relative_absolute_error: 0.7839, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.829, scimark_benchmark: 943.6618, usercpu_time_millis: 15250, usercpu_time_millis_testing: 6020, usercpu_time_millis_training: 9230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7806, kappa: 0.5605, kb_relative_information_score: 1287.4683, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.7815, predictive_accuracy: 0.7804, prior_entropy: 0.9978, recall: 0.7804, relative_absolute_error: 0.783, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8318, scimark_benchmark: 906.5979, usercpu_time_millis: 7040, usercpu_time_millis_testing: 2610, usercpu_time_millis_training: 4430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7697, kappa: 0.5384, kb_relative_information_score: 1284.6008, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.7701, predictive_accuracy: 0.7696, prior_entropy: 0.9978, recall: 0.7696, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8352, scimark_benchmark: 929.7512, usercpu_time_millis: 3340, usercpu_time_millis_testing: 990, usercpu_time_millis_training: 2350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.7582, kappa: 0.515, kb_relative_information_score: 1291.0316, mean_absolute_error: 0.3877, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.7583, predictive_accuracy: 0.7582, prior_entropy: 0.9978, recall: 0.7582, relative_absolute_error: 0.7779, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8421, scimark_benchmark: 933.9, usercpu_time_millis: 1440, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.7339, kappa: 0.4662, kb_relative_information_score: 1313.2445, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.734, predictive_accuracy: 0.7338, prior_entropy: 0.9978, recall: 0.7338, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8535, scimark_benchmark: 942.5233, usercpu_time_millis: 700, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8614, kappa: 0.7218, kb_relative_information_score: 3458.8129, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8614, predictive_accuracy: 0.8614, prior_entropy: 0.9978, recall: 0.8614, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6516, scimark_benchmark: 889.4922, usercpu_time_millis: 850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.859, kappa: 0.7169, kb_relative_information_score: 3432.3421, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9978, recall: 0.859, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6534, scimark_benchmark: 941.9549, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.8706, kappa: 0.7403, kb_relative_information_score: 3441.5761, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8706, predictive_accuracy: 0.8706, prior_entropy: 0.9978, recall: 0.8706, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6175, scimark_benchmark: 929.0296, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8526, kappa: 0.7044, kb_relative_information_score: 3066.0394, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8527, predictive_accuracy: 0.8526, prior_entropy: 0.9978, recall: 0.8526, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6514, scimark_benchmark: 941.9549, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8352, kappa: 0.6694, kb_relative_information_score: 1613.3448, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8352, predictive_accuracy: 0.8352, prior_entropy: 0.9978, recall: 0.8352, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.773, scimark_benchmark: 1340.9446, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6112, kappa: 0.2199, kb_relative_information_score: 1116.501, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.6123, predictive_accuracy: 0.6134, prior_entropy: 0.9978, recall: 0.6134, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.2455, scimark_benchmark: 1393.8432, usercpu_time_millis: 270, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8096, kappa: 0.6177, kb_relative_information_score: 2718.5807, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8098, predictive_accuracy: 0.8098, prior_entropy: 0.9978, recall: 0.8098, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7068, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1331.2559, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1286.2211, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8352, kappa: 0.6694, kb_relative_information_score: 1613.3448, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8352, predictive_accuracy: 0.8352, prior_entropy: 0.9978, recall: 0.8352, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.773, scimark_benchmark: 1331.2559, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6112, kappa: 0.2199, kb_relative_information_score: 1116.501, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.6123, predictive_accuracy: 0.6134, prior_entropy: 0.9978, recall: 0.6134, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.2455, scimark_benchmark: 1316.3384, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1340.9749, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1324.7884, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8096, kappa: 0.6177, kb_relative_information_score: 2718.5807, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8098, predictive_accuracy: 0.8098, prior_entropy: 0.9978, recall: 0.8098, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7068, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1309.0674, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8096, kappa: 0.6177, kb_relative_information_score: 2718.5807, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8098, predictive_accuracy: 0.8098, prior_entropy: 0.9978, recall: 0.8098, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7068, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1337.9552, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.627, kappa: 0.2516, kb_relative_information_score: 979.5418, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.627, predictive_accuracy: 0.627, prior_entropy: 0.9978, recall: 0.627, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.982, scimark_benchmark: 1334.8032, usercpu_time_millis: 790, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1331.4379, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8096, kappa: 0.6177, kb_relative_information_score: 2718.5807, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8098, predictive_accuracy: 0.8098, prior_entropy: 0.9978, recall: 0.8098, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7068, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1337.3324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1313.11, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.853, kappa: 0.7049, kb_relative_information_score: 2677.1068, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8533, predictive_accuracy: 0.8532, prior_entropy: 0.9978, recall: 0.8532, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.6675, scimark_benchmark: 1342.2845, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8087, kappa: 0.616, kb_relative_information_score: 2735.6899, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.809, predictive_accuracy: 0.809, prior_entropy: 0.9978, recall: 0.809, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7036, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7814, kappa: 0.5613, kb_relative_information_score: 2538.8584, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.7813, predictive_accuracy: 0.7814, prior_entropy: 0.9978, recall: 0.7814, relative_absolute_error: 0.5058, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8449, scimark_benchmark: 1317.6232, usercpu_time_millis: 770, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.8352, kappa: 0.6694, kb_relative_information_score: 1613.3448, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8352, predictive_accuracy: 0.8352, prior_entropy: 0.9978, recall: 0.8352, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.773, scimark_benchmark: 1336.5541, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8358, kappa: 0.6708, kb_relative_information_score: 2813.3966, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8359, predictive_accuracy: 0.8358, prior_entropy: 0.9978, recall: 0.8358, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7332, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8516, kappa: 0.7024, kb_relative_information_score: 2501.3843, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8517, predictive_accuracy: 0.8516, prior_entropy: 0.9978, recall: 0.8516, relative_absolute_error: 0.5365, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.69, scimark_benchmark: 1322.5413, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8415, kappa: 0.682, kb_relative_information_score: 2893.6276, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.8415, predictive_accuracy: 0.8416, prior_entropy: 0.9978, recall: 0.8416, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6779, scimark_benchmark: 1319.5773, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.6112, kappa: 0.2199, kb_relative_information_score: 1116.501, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4984, number_of_instances: 5000, precision: 0.6123, predictive_accuracy: 0.6134, prior_entropy: 0.9978, recall: 0.6134, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6218, root_relative_squared_error: 1.2455, scimark_benchmark: 1347.1763, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,

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

OpenML bootcamp

From your own software

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

OpenML APIs