Task
Supervised Classification on bank8FM

Supervised Classification on bank8FM

Task 3591 Supervised Classification bank8FM 541 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9308, kappa: 0.856, kb_relative_information_score: 6776.9331, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.931, predictive_accuracy: 0.931, prior_entropy: 0.9731, recall: 0.931, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.941, kappa: 0.8771, kb_relative_information_score: 6729.4581, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9412, predictive_accuracy: 0.9412, prior_entropy: 0.9731, recall: 0.9412, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9354, kappa: 0.8651, kb_relative_information_score: 6564.5354, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9371, predictive_accuracy: 0.9359, prior_entropy: 0.9731, recall: 0.9359, relative_absolute_error: 0.2124, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9283, kappa: 0.8509, kb_relative_information_score: 6475.6049, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9283, predictive_accuracy: 0.9283, prior_entropy: 0.9731, recall: 0.9283, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9322, kappa: 0.8588, kb_relative_information_score: 6617.7222, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9326, predictive_accuracy: 0.9325, prior_entropy: 0.9731, recall: 0.9325, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7634, kappa: 0.5053, kb_relative_information_score: 3660.5228, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.7878, predictive_accuracy: 0.7753, prior_entropy: 0.9731, recall: 0.7753, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4295, root_relative_squared_error: 0.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9312, kappa: 0.8571, kb_relative_information_score: 7006.1032, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9312, predictive_accuracy: 0.9313, prior_entropy: 0.9731, recall: 0.9313, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9211, kappa: 0.8356, kb_relative_information_score: 6733.6088, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9213, predictive_accuracy: 0.9214, prior_entropy: 0.9731, recall: 0.9214, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.5019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9214, kappa: 0.8356, kb_relative_information_score: 5855.7455, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9243, predictive_accuracy: 0.9222, prior_entropy: 0.9731, recall: 0.9222, relative_absolute_error: 0.309, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.82, kappa: 0.6232, kb_relative_information_score: 4941.8926, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.8427, predictive_accuracy: 0.8276, prior_entropy: 0.9731, recall: 0.8276, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9028, kappa: 0.7973, kb_relative_information_score: 5902.8747, mean_absolute_error: 0.1438, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9036, predictive_accuracy: 0.9034, prior_entropy: 0.9731, recall: 0.9034, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.5289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.8996, kappa: 0.7904, kb_relative_information_score: 5850.7939, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9005, predictive_accuracy: 0.9003, prior_entropy: 0.9731, recall: 0.9003, relative_absolute_error: 0.3045, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.5409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7687, kappa: 0.5167, kb_relative_information_score: 3326.9067, mean_absolute_error: 0.2955, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.796, predictive_accuracy: 0.7809, prior_entropy: 0.9731, recall: 0.7809, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.7961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9411, kappa: 0.8773, kb_relative_information_score: 7174.4919, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9414, predictive_accuracy: 0.9413, prior_entropy: 0.9731, recall: 0.9413, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9383, kappa: 0.8718, kb_relative_information_score: 6798.5937, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9383, predictive_accuracy: 0.9384, prior_entropy: 0.9731, recall: 0.9384, relative_absolute_error: 0.1773, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2122, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.93, kappa: 0.8541, kb_relative_information_score: 4716.037, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9304, predictive_accuracy: 0.9303, prior_entropy: 0.9731, recall: 0.9303, relative_absolute_error: 0.4839, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.4455, kb_relative_information_score: -0.0636, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.3556, predictive_accuracy: 0.5963, prior_entropy: 0.9731, recall: 0.5963, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4906, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7634, kappa: 0.5053, kb_relative_information_score: 3313.3651, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.7878, predictive_accuracy: 0.7753, prior_entropy: 0.9731, recall: 0.7753, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.924, kappa: 0.8418, kb_relative_information_score: 6537.6306, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9241, predictive_accuracy: 0.9242, prior_entropy: 0.9731, recall: 0.9242, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9245, kappa: 0.8428, kb_relative_information_score: 6460.055, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9248, predictive_accuracy: 0.9248, prior_entropy: 0.9731, recall: 0.9248, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.4821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9223, kappa: 0.8386, kb_relative_information_score: 6682.8436, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9223, predictive_accuracy: 0.9224, prior_entropy: 0.9731, recall: 0.9224, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9034, kappa: 0.7983, kb_relative_information_score: 5911.7514, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9041, predictive_accuracy: 0.9039, prior_entropy: 0.9731, recall: 0.9039, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9416, kappa: 0.8783, kb_relative_information_score: 7015.9935, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9419, predictive_accuracy: 0.9418, prior_entropy: 0.9731, recall: 0.9418, relative_absolute_error: 0.1491, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9416, kappa: 0.8783, kb_relative_information_score: 7184.7692, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9419, predictive_accuracy: 0.9418, prior_entropy: 0.9731, recall: 0.9418, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9035, kappa: 0.7986, kb_relative_information_score: 5911.7679, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9042, predictive_accuracy: 0.9041, prior_entropy: 0.9731, recall: 0.9041, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9409, kappa: 0.877, kb_relative_information_score: 6760.7791, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9408, predictive_accuracy: 0.9409, prior_entropy: 0.9731, recall: 0.9409, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9305, kappa: 0.8551, kb_relative_information_score: 6996.858, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9313, predictive_accuracy: 0.9309, prior_entropy: 0.9731, recall: 0.9309, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.9373, kappa: 0.8693, kb_relative_information_score: 7110.8715, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9376, predictive_accuracy: 0.9375, prior_entropy: 0.9731, recall: 0.9375, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9223, kappa: 0.8386, kb_relative_information_score: 6682.8436, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9223, predictive_accuracy: 0.9224, prior_entropy: 0.9731, recall: 0.9224, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9084, kappa: 0.8087, kb_relative_information_score: 5251.1582, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.91, predictive_accuracy: 0.9092, prior_entropy: 0.9731, recall: 0.9092, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9041, kappa: 0.7999, kb_relative_information_score: 5916.0721, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9048, predictive_accuracy: 0.9047, prior_entropy: 0.9731, recall: 0.9047, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.5265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9035, kappa: 0.7986, kb_relative_information_score: 5911.7679, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9042, predictive_accuracy: 0.9041, prior_entropy: 0.9731, recall: 0.9041, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9272, kappa: 0.8487, kb_relative_information_score: 6933.5171, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9731, recall: 0.9272, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9272, kappa: 0.8487, kb_relative_information_score: 6933.5171, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9731, recall: 0.9272, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9272, kappa: 0.8487, kb_relative_information_score: 6933.5171, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9731, recall: 0.9272, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9272, kappa: 0.8487, kb_relative_information_score: 6933.5171, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9731, recall: 0.9272, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9272, kappa: 0.8487, kb_relative_information_score: 6933.5171, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9731, recall: 0.9272, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9272, kappa: 0.8487, kb_relative_information_score: 6933.5171, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9731, recall: 0.9272, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9272, kappa: 0.8487, kb_relative_information_score: 6933.5171, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9731, recall: 0.9272, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.9272, kappa: 0.8487, kb_relative_information_score: 6933.5171, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9272, predictive_accuracy: 0.9272, prior_entropy: 0.9731, recall: 0.9272, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9422, kappa: 0.8799, kb_relative_information_score: 6906.5328, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9422, predictive_accuracy: 0.9423, prior_entropy: 0.9731, recall: 0.9423, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9331, kappa: 0.8607, kb_relative_information_score: 6293.8071, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9334, predictive_accuracy: 0.9334, prior_entropy: 0.9731, recall: 0.9334, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.9177, kappa: 0.8288, kb_relative_information_score: 6768.8309, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9176, predictive_accuracy: 0.9177, prior_entropy: 0.9731, recall: 0.9177, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2868, root_relative_squared_error: 0.5846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4087, f_measure: 0.3953, kappa: -0.206, kb_relative_information_score: -711.7233, mean_absolute_error: 0.5148, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.341, predictive_accuracy: 0.4852, prior_entropy: 0.9731, recall: 0.4852, relative_absolute_error: 1.0692, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.7175, root_relative_squared_error: 1.4623, scimark_benchmark: 1697.6783, usercpu_time_millis: 15734.375, usercpu_time_millis_testing: 6468.75, usercpu_time_millis_training: 9265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9423, kappa: 0.8799, kb_relative_information_score: 7195.326, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9423, predictive_accuracy: 0.9424, prior_entropy: 0.9731, recall: 0.9424, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.24, root_relative_squared_error: 0.4892, scimark_benchmark: 1862.8608, usercpu_time_millis: 2109.375, usercpu_time_millis_testing: 953.125, usercpu_time_millis_training: 1156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4087, f_measure: 0.3953, kappa: -0.206, kb_relative_information_score: -711.7233, mean_absolute_error: 0.5148, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.341, predictive_accuracy: 0.4852, prior_entropy: 0.9731, recall: 0.4852, relative_absolute_error: 1.0692, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.7175, root_relative_squared_error: 1.4623, scimark_benchmark: 1364.9141, usercpu_time_millis: 23520, usercpu_time_millis_testing: 10180, usercpu_time_millis_training: 13340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.9423, kappa: 0.8799, kb_relative_information_score: 7195.326, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9423, predictive_accuracy: 0.9424, prior_entropy: 0.9731, recall: 0.9424, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.24, root_relative_squared_error: 0.4892, scimark_benchmark: 1349.3728, usercpu_time_millis: 4310, usercpu_time_millis_testing: 1620, usercpu_time_millis_training: 2690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9398, kappa: 0.8751, kb_relative_information_score: 6584.1726, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9399, predictive_accuracy: 0.9397, prior_entropy: 0.9731, recall: 0.9397, relative_absolute_error: 0.2184, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.4352, scimark_benchmark: 1918.4916, usercpu_time_millis: 21437.5, usercpu_time_millis_training: 21437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9409, kappa: 0.8772, kb_relative_information_score: 6898.7766, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9409, predictive_accuracy: 0.9409, prior_entropy: 0.9731, recall: 0.9409, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.4127, scimark_benchmark: 1918.4916, usercpu_time_millis: 20296.875, usercpu_time_millis_training: 20296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9436, kappa: 0.8826, kb_relative_information_score: 7218.5509, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 0.9731, recall: 0.9437, relative_absolute_error: 0.1169, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4835, scimark_benchmark: 1827.4462, usercpu_time_millis: 3218.75, usercpu_time_millis_testing: 453.125, usercpu_time_millis_training: 2765.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9417, kappa: 0.8788, kb_relative_information_score: 7184.7692, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9731, recall: 0.9418, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4918, scimark_benchmark: 1827.4462, usercpu_time_millis: 2328.125, usercpu_time_millis_testing: 421.875, usercpu_time_millis_training: 1906.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9424, kappa: 0.8804, kb_relative_information_score: 6863.2552, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9424, predictive_accuracy: 0.9424, prior_entropy: 0.9731, recall: 0.9424, relative_absolute_error: 0.1721, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4111, scimark_benchmark: 1344.8332, usercpu_time_millis: 7100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 7080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.941, kappa: 0.8774, kb_relative_information_score: 6887.861, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.941, predictive_accuracy: 0.941, prior_entropy: 0.9731, recall: 0.941, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4126, scimark_benchmark: 1871.4229, usercpu_time_millis: 2046.875, usercpu_time_millis_training: 2046.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9035, kappa: 0.7986, kb_relative_information_score: 5911.7679, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9042, predictive_accuracy: 0.9041, prior_entropy: 0.9731, recall: 0.9041, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5268, scimark_benchmark: 1270.146, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9413, kappa: 0.8777, kb_relative_information_score: 7180.5464, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9417, predictive_accuracy: 0.9415, prior_entropy: 0.9731, recall: 0.9415, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.4928, scimark_benchmark: 1618.1738, usercpu_time_millis: 1000, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9421, kappa: 0.8795, kb_relative_information_score: 7191.1032, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9731, recall: 0.9421, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4903, scimark_benchmark: 1618.1738, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9395, kappa: 0.8746, kb_relative_information_score: 6582.6591, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9397, predictive_accuracy: 0.9395, prior_entropy: 0.9731, recall: 0.9395, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4342, scimark_benchmark: 1744.8652, usercpu_time_millis: 2062.5, usercpu_time_millis_training: 2062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9421, kappa: 0.8796, kb_relative_information_score: 6901.2805, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9731, recall: 0.9421, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4098, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 171.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7496, kappa: 0.4754, kb_relative_information_score: 3940.8777, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.7523, predictive_accuracy: 0.7543, prior_entropy: 0.9731, recall: 0.7543, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0102, scimark_benchmark: 1744.8652, usercpu_time_millis: 3468.75, usercpu_time_millis_testing: 3437.5, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9354, kappa: 0.8657, kb_relative_information_score: 6683.5992, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9355, predictive_accuracy: 0.9355, prior_entropy: 0.9731, recall: 0.9355, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4412, scimark_benchmark: 1744.8652, usercpu_time_millis: 1843.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1828.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9301, kappa: 0.8548, kb_relative_information_score: 6527.0637, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9301, predictive_accuracy: 0.9302, prior_entropy: 0.9731, recall: 0.9302, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5038, scimark_benchmark: 1744.8652, usercpu_time_millis: 828.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9291, kappa: 0.8524, kb_relative_information_score: 6607.5652, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9291, predictive_accuracy: 0.9292, prior_entropy: 0.9731, recall: 0.9292, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.239, root_relative_squared_error: 0.4871, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9411, kappa: 0.8776, kb_relative_information_score: 6764.0627, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9411, predictive_accuracy: 0.9412, prior_entropy: 0.9731, recall: 0.9412, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4158, scimark_benchmark: 1744.8652, usercpu_time_millis: 2531.25, usercpu_time_millis_testing: 234.375, usercpu_time_millis_training: 2296.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9322, kappa: 0.8588, kb_relative_information_score: 6617.7222, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9326, predictive_accuracy: 0.9325, prior_entropy: 0.9731, recall: 0.9325, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.446, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9224, kappa: 0.8388, kb_relative_information_score: 6685.9073, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9224, predictive_accuracy: 0.9225, prior_entropy: 0.9731, recall: 0.9225, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5248, scimark_benchmark: 1744.8652, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9035, kappa: 0.7986, kb_relative_information_score: 5911.7679, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9042, predictive_accuracy: 0.9041, prior_entropy: 0.9731, recall: 0.9041, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5268, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, f_measure: 0.9413, kappa: 0.8777, kb_relative_information_score: 7180.5464, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9417, predictive_accuracy: 0.9415, prior_entropy: 0.9731, recall: 0.9415, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.4928, scimark_benchmark: 1744.8652, usercpu_time_millis: 1031.25, usercpu_time_millis_training: 1031.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9421, kappa: 0.8795, kb_relative_information_score: 7191.1032, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9731, recall: 0.9421, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4903, scimark_benchmark: 1744.8652, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9395, kappa: 0.8746, kb_relative_information_score: 6582.6591, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9397, predictive_accuracy: 0.9395, prior_entropy: 0.9731, recall: 0.9395, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4342, scimark_benchmark: 1744.8652, usercpu_time_millis: 2296.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9421, kappa: 0.8796, kb_relative_information_score: 6901.2805, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9731, recall: 0.9421, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4098, scimark_benchmark: 1744.8652, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.7496, kappa: 0.4754, kb_relative_information_score: 3940.8777, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.7523, predictive_accuracy: 0.7543, prior_entropy: 0.9731, recall: 0.7543, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.0102, scimark_benchmark: 1744.8652, usercpu_time_millis: 3375, usercpu_time_millis_testing: 3343.75, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9354, kappa: 0.8657, kb_relative_information_score: 6683.5992, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9355, predictive_accuracy: 0.9355, prior_entropy: 0.9731, recall: 0.9355, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4412, scimark_benchmark: 1744.8652, usercpu_time_millis: 1750, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9301, kappa: 0.8548, kb_relative_information_score: 6527.0637, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9301, predictive_accuracy: 0.9302, prior_entropy: 0.9731, recall: 0.9302, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5038, scimark_benchmark: 1744.8652, usercpu_time_millis: 812.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9291, kappa: 0.8524, kb_relative_information_score: 6607.5652, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9291, predictive_accuracy: 0.9292, prior_entropy: 0.9731, recall: 0.9292, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.239, root_relative_squared_error: 0.4871, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9411, kappa: 0.8776, kb_relative_information_score: 6764.0627, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9411, predictive_accuracy: 0.9412, prior_entropy: 0.9731, recall: 0.9412, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4158, scimark_benchmark: 1744.8652, usercpu_time_millis: 3765.625, usercpu_time_millis_testing: 781.25, usercpu_time_millis_training: 2984.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9322, kappa: 0.8588, kb_relative_information_score: 6617.7222, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9326, predictive_accuracy: 0.9325, prior_entropy: 0.9731, recall: 0.9325, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.446, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9224, kappa: 0.8388, kb_relative_information_score: 6685.9073, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9224, predictive_accuracy: 0.9225, prior_entropy: 0.9731, recall: 0.9225, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5248, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9421, kappa: 0.8796, kb_relative_information_score: 6901.2805, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9731, recall: 0.9421, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4098, scimark_benchmark: 1327.5254, usercpu_time_millis: 171.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9354, kappa: 0.8657, kb_relative_information_score: 6683.5992, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9355, predictive_accuracy: 0.9355, prior_entropy: 0.9731, recall: 0.9355, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4412, scimark_benchmark: 1788.6668, usercpu_time_millis: 2765.625, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 2734.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9394, kappa: 0.8743, kb_relative_information_score: 6583.2527, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9396, predictive_accuracy: 0.9393, prior_entropy: 0.9731, recall: 0.9393, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4342, scimark_benchmark: 1788.6668, usercpu_time_millis: 2093.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2078.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9312, kappa: 0.8568, kb_relative_information_score: 6608.8136, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9313, predictive_accuracy: 0.9314, prior_entropy: 0.9731, recall: 0.9314, relative_absolute_error: 0.2026, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4549, scimark_benchmark: 1788.6668, usercpu_time_millis: 1125, usercpu_time_millis_testing: 31.25, usercpu_time_millis_training: 1093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9327, kappa: 0.8601, kb_relative_information_score: 6504.0606, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9328, predictive_accuracy: 0.9329, prior_entropy: 0.9731, recall: 0.9329, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.4996, scimark_benchmark: 1788.6668, usercpu_time_millis: 671.875, usercpu_time_millis_training: 671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9353, kappa: 0.8658, kb_relative_information_score: 6488.6375, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9355, predictive_accuracy: 0.9352, prior_entropy: 0.9731, recall: 0.9352, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.4489, scimark_benchmark: 1788.6668, usercpu_time_millis: 1703.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 1687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9363, kappa: 0.8676, kb_relative_information_score: 6792.1602, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9363, predictive_accuracy: 0.9364, prior_entropy: 0.9731, recall: 0.9364, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4276, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9353, kappa: 0.8652, kb_relative_information_score: 7077.0897, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9357, predictive_accuracy: 0.9355, prior_entropy: 0.9731, recall: 0.9355, relative_absolute_error: 0.1339, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5174, scimark_benchmark: 1788.6668, usercpu_time_millis: 218.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9416, kappa: 0.8783, kb_relative_information_score: 7184.7692, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9419, predictive_accuracy: 0.9418, prior_entropy: 0.9731, recall: 0.9418, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4918, scimark_benchmark: 1493.6478, usercpu_time_millis: 780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9283, kappa: 0.8509, kb_relative_information_score: 6475.6049, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9283, predictive_accuracy: 0.9283, prior_entropy: 0.9731, recall: 0.9283, relative_absolute_error: 0.2275, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.511, scimark_benchmark: 1281.9197, usercpu_time_millis: 1320, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9215, kappa: 0.836, kb_relative_information_score: 6400.9963, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9237, predictive_accuracy: 0.9222, prior_entropy: 0.9731, recall: 0.9222, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4677, scimark_benchmark: 1860.4354, usercpu_time_millis: 3328.125, usercpu_time_millis_testing: 3296.875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.9039, kappa: 0.7988, kb_relative_information_score: 6534.3254, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9092, predictive_accuracy: 0.9054, prior_entropy: 0.9731, recall: 0.9054, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.5368, scimark_benchmark: 1840.6094, usercpu_time_millis: 2390.625, usercpu_time_millis_testing: 2343.75, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.709, kappa: 0.4029, kb_relative_information_score: 3662.6806, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.779, predictive_accuracy: 0.738, prior_entropy: 0.9731, recall: 0.738, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8776, scimark_benchmark: 1840.6094, usercpu_time_millis: 3109.375, usercpu_time_millis_testing: 3109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8557, f_measure: 0.7175, kappa: 0.4209, kb_relative_information_score: 2896.761, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.7931, predictive_accuracy: 0.7462, prior_entropy: 0.9731, recall: 0.7462, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8122, scimark_benchmark: 1873.1108, usercpu_time_millis: 6156.25, usercpu_time_millis_testing: 6140.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.925, kappa: 0.8437, kb_relative_information_score: 6498.9295, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9251, predictive_accuracy: 0.9252, prior_entropy: 0.9731, recall: 0.9252, relative_absolute_error: 0.2134, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4821, scimark_benchmark: 1873.1108, usercpu_time_millis: 2453.125, usercpu_time_millis_testing: 2421.875, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7634, kappa: 0.5053, kb_relative_information_score: 3313.3651, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.7878, predictive_accuracy: 0.7753, prior_entropy: 0.9731, recall: 0.7753, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8148, scimark_benchmark: 1873.1108, usercpu_time_millis: 4703.125, usercpu_time_millis_testing: 4703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9417, kappa: 0.8789, kb_relative_information_score: 7184.7692, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9417, predictive_accuracy: 0.9418, prior_entropy: 0.9731, recall: 0.9418, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9425, kappa: 0.8804, kb_relative_information_score: 7197.4373, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9424, predictive_accuracy: 0.9425, prior_entropy: 0.9731, recall: 0.9425, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.945, kappa: 0.8857, kb_relative_information_score: 7241.7759, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.945, predictive_accuracy: 0.9451, prior_entropy: 0.9731, recall: 0.9451, relative_absolute_error: 0.1141, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9369, kappa: 0.8689, kb_relative_information_score: 7102.426, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9369, predictive_accuracy: 0.937, prior_entropy: 0.9731, recall: 0.937, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.251, root_relative_squared_error: 0.5115, scimark_benchmark: 1779.392, usercpu_time_millis: 280.8018, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9421, kappa: 0.8795, kb_relative_information_score: 7191.1032, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9731, recall: 0.9421, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.4903, scimark_benchmark: 1779.392, usercpu_time_millis: 280.8018, usercpu_time_millis_training: 280.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9273, kappa: 0.8489, kb_relative_information_score: 6935.6285, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4815, number_of_instances: 8192, precision: 0.9273, predictive_accuracy: 0.9274, prior_entropy: 0.9731, recall: 0.9274, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.5493,

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