OpenML
Supervised Classification on sylva_agnostic

Supervised Classification on sylva_agnostic

Task 3889 Supervised Classification sylva_agnostic 60368 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9776, kappa: 0.7916, kb_relative_information_score: 4585.3798, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9794, predictive_accuracy: 0.9794, prior_entropy: 0.3338, recall: 0.9794, relative_absolute_error: 0.4837, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.5585, scimark_benchmark: 1730.591, usercpu_time_millis: 174.605, usercpu_time_millis_testing: 5.816, usercpu_time_millis_training: 168.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9878, kappa: 0.8913, kb_relative_information_score: 7530.3569, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9881, predictive_accuracy: 0.9883, prior_entropy: 0.3338, recall: 0.9883, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.4517, scimark_benchmark: 1734.2699, usercpu_time_millis: 164.854, usercpu_time_millis_testing: 6.35, usercpu_time_millis_training: 158.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9914, kappa: 0.9248, kb_relative_information_score: 10968.4723, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9914, predictive_accuracy: 0.9915, prior_entropy: 0.3338, recall: 0.9915, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.356, scimark_benchmark: 1728.0111, usercpu_time_millis: 153.825, usercpu_time_millis_testing: 1.608, usercpu_time_millis_training: 152.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9866, kappa: 0.8792, kb_relative_information_score: 7323.1405, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9869, predictive_accuracy: 0.9871, prior_entropy: 0.3338, recall: 0.9871, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.4645, scimark_benchmark: 1729.2681, usercpu_time_millis: 114.799, usercpu_time_millis_testing: 4.777, usercpu_time_millis_training: 110.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9087, kb_relative_information_score: 1327.5761, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.8754, scimark_benchmark: 1717.8303, usercpu_time_millis: 78.071, usercpu_time_millis_testing: 6.884, usercpu_time_millis_training: 71.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.977, kappa: 0.7858, kb_relative_information_score: 4844.4204, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.3338, recall: 0.9789, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.556, scimark_benchmark: 1725.0026, usercpu_time_millis: 79.4, usercpu_time_millis_testing: 3.239, usercpu_time_millis_training: 76.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9524, kappa: 0.5225, kb_relative_information_score: 1151.5471, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9612, predictive_accuracy: 0.9608, prior_entropy: 0.3338, recall: 0.9608, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.6913, scimark_benchmark: 1719.9254, usercpu_time_millis: 100.61, usercpu_time_millis_testing: 2.105, usercpu_time_millis_training: 98.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9701, kappa: 0.7146, kb_relative_information_score: 4899.6577, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9735, predictive_accuracy: 0.9733, prior_entropy: 0.3338, recall: 0.9733, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.5801, scimark_benchmark: 1723.567, usercpu_time_millis: 73.321, usercpu_time_millis_testing: 3.924, usercpu_time_millis_training: 69.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9835, kappa: 0.8495, kb_relative_information_score: 6676.7665, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9842, predictive_accuracy: 0.9844, prior_entropy: 0.3338, recall: 0.9844, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.4957, scimark_benchmark: 1724.3221, usercpu_time_millis: 67.566, usercpu_time_millis_testing: 2.744, usercpu_time_millis_training: 64.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9487, kappa: 0.4812, kb_relative_information_score: 2427.7192, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9591, predictive_accuracy: 0.9585, prior_entropy: 0.3338, recall: 0.9585, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1571, root_relative_squared_error: 0.6539, scimark_benchmark: 1734.4399, usercpu_time_millis: 86.213, usercpu_time_millis_testing: 3.433, usercpu_time_millis_training: 82.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9842, kappa: 0.8563, kb_relative_information_score: 6638.9722, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9849, predictive_accuracy: 0.985, prior_entropy: 0.3338, recall: 0.985, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.4946, scimark_benchmark: 1738.3274, usercpu_time_millis: 69.32, usercpu_time_millis_testing: 3.101, usercpu_time_millis_training: 66.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9833, kappa: 0.8482, kb_relative_information_score: 6564.4894, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9841, predictive_accuracy: 0.9842, prior_entropy: 0.3338, recall: 0.9842, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.4988, scimark_benchmark: 1716.0249, usercpu_time_millis: 41.807, usercpu_time_millis_testing: 1.977, usercpu_time_millis_training: 39.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9699, kappa: 0.7131, kb_relative_information_score: 4417.9428, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9733, predictive_accuracy: 0.9732, prior_entropy: 0.3338, recall: 0.9732, relative_absolute_error: 0.5263, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.5848, scimark_benchmark: 1725.6643, usercpu_time_millis: 39.522, usercpu_time_millis_testing: 2.122, usercpu_time_millis_training: 37.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9939, kappa: 0.947, kb_relative_information_score: 11124.1396, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9939, predictive_accuracy: 0.994, prior_entropy: 0.3338, recall: 0.994, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0778, root_relative_squared_error: 0.3235, scimark_benchmark: 1730.591, usercpu_time_millis: 109.875, usercpu_time_millis_testing: 2.175, usercpu_time_millis_training: 107.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9747, kappa: 0.7628, kb_relative_information_score: 3984.2246, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.3338, recall: 0.977, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.5806, scimark_benchmark: 1721.2871, usercpu_time_millis: 23.058, usercpu_time_millis_testing: 0.928, usercpu_time_millis_training: 22.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9582, kappa: 0.587, kb_relative_information_score: 3355.5713, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9651, predictive_accuracy: 0.9646, prior_entropy: 0.3338, recall: 0.9646, relative_absolute_error: 0.5698, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.6264, scimark_benchmark: 1723.6152, usercpu_time_millis: 32.768, usercpu_time_millis_testing: 1.632, usercpu_time_millis_training: 31.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9087, kb_relative_information_score: 1094.5846, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.217, root_relative_squared_error: 0.9029, scimark_benchmark: 1709.9717, usercpu_time_millis: 24.242, usercpu_time_millis_testing: 2.707, usercpu_time_millis_training: 21.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9087, kb_relative_information_score: 1160.7614, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.8868, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.8909, scimark_benchmark: 1725.8551, usercpu_time_millis: 12.994, usercpu_time_millis_testing: 1.13, usercpu_time_millis_training: 11.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9823, kappa: 0.8387, kb_relative_information_score: 6423.8744, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9831, predictive_accuracy: 0.9833, prior_entropy: 0.3338, recall: 0.9833, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.5042, scimark_benchmark: 1737.4645, usercpu_time_millis: 9.997, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 9.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9211, kappa: 0.1541, kb_relative_information_score: 1516.4099, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9441, predictive_accuracy: 0.9437, prior_entropy: 0.3338, recall: 0.9437, relative_absolute_error: 0.6115, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1653, root_relative_squared_error: 0.6876, scimark_benchmark: 1735.1328, usercpu_time_millis: 27.824, usercpu_time_millis_testing: 1.603, usercpu_time_millis_training: 26.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9925, kappa: 0.9347, kb_relative_information_score: 10707.5977, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.3423, scimark_benchmark: 1732.8983, usercpu_time_millis: 72.392, usercpu_time_millis_testing: 0.915, usercpu_time_millis_training: 71.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9703, kappa: 0.7341, kb_relative_information_score: 1860.5576, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9698, predictive_accuracy: 0.9713, prior_entropy: 0.3338, recall: 0.9713, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6994, scimark_benchmark: 1725.3223, usercpu_time_millis: 31.942, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 31.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9934, kappa: 0.9428, kb_relative_information_score: 11630.2384, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.3338, recall: 0.9934, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.076, root_relative_squared_error: 0.3164, scimark_benchmark: 1727.4447, usercpu_time_millis: 8.38, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 8.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9937, kappa: 0.9457, kb_relative_information_score: 12554.0157, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.3338, recall: 0.9937, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.2965, scimark_benchmark: 1735.2343, usercpu_time_millis: 1193.152, usercpu_time_millis_testing: 3.802, usercpu_time_millis_training: 1189.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9934, kappa: 0.9431, kb_relative_information_score: 12232.6047, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.3338, recall: 0.9934, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3023, scimark_benchmark: 1726.1942, usercpu_time_millis: 954.168, usercpu_time_millis_testing: 3.03, usercpu_time_millis_training: 951.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9936, kappa: 0.944, kb_relative_information_score: 10916.3802, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.3338, recall: 0.9936, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.3299, scimark_benchmark: 1715.6979, usercpu_time_millis: 731.814, usercpu_time_millis_testing: 8.495, usercpu_time_millis_training: 723.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9941, kappa: 0.9488, kb_relative_information_score: 12554.0712, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9941, predictive_accuracy: 0.994, prior_entropy: 0.3338, recall: 0.994, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2867, scimark_benchmark: 1725.3999, usercpu_time_millis: 672.326, usercpu_time_millis_testing: 2.435, usercpu_time_millis_training: 669.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9714, kappa: 0.7287, kb_relative_information_score: 1280.7094, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9741, predictive_accuracy: 0.9742, prior_entropy: 0.3338, recall: 0.9742, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.6855, scimark_benchmark: 1716.5474, usercpu_time_millis: 644.829, usercpu_time_millis_testing: 2.587, usercpu_time_millis_training: 642.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9709, kappa: 0.7234, kb_relative_information_score: 1404.0368, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9738, predictive_accuracy: 0.9739, prior_entropy: 0.3338, recall: 0.9739, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.6717, scimark_benchmark: 1720.6141, usercpu_time_millis: 354.664, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 351.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9935, kappa: 0.9433, kb_relative_information_score: 11027.6587, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.3294, scimark_benchmark: 1721.8007, usercpu_time_millis: 207.771, usercpu_time_millis_testing: 3.01, usercpu_time_millis_training: 204.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9938, kappa: 0.9468, kb_relative_information_score: 12536.5809, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9939, predictive_accuracy: 0.9938, prior_entropy: 0.3338, recall: 0.9938, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0701, root_relative_squared_error: 0.2918, scimark_benchmark: 1721.7423, usercpu_time_millis: 245.627, usercpu_time_millis_testing: 1.623, usercpu_time_millis_training: 244.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9914, kappa: 0.9247, kb_relative_information_score: 10745.0465, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9913, predictive_accuracy: 0.9915, prior_entropy: 0.3338, recall: 0.9915, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.085, root_relative_squared_error: 0.3535, scimark_benchmark: 1724.4096, usercpu_time_millis: 241.585, usercpu_time_millis_testing: 2.039, usercpu_time_millis_training: 239.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9926, kappa: 0.935, kb_relative_information_score: 10614.5891, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9925, predictive_accuracy: 0.9926, prior_entropy: 0.3338, recall: 0.9926, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.083, root_relative_squared_error: 0.3455, scimark_benchmark: 1728.1342, usercpu_time_millis: 196.13, usercpu_time_millis_testing: 3.512, usercpu_time_millis_training: 192.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9511, kappa: 0.5087, kb_relative_information_score: 1501.7152, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9603, predictive_accuracy: 0.9599, prior_entropy: 0.3338, recall: 0.9599, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.6792, scimark_benchmark: 1728.7561, usercpu_time_millis: 85.311, usercpu_time_millis_testing: 4.5, usercpu_time_millis_training: 80.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.994, kappa: 0.9481, kb_relative_information_score: 12415.9747, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.3338, recall: 0.994, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0694, root_relative_squared_error: 0.2889, scimark_benchmark: 1726.6494, usercpu_time_millis: 99.602, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 98.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9087, kb_relative_information_score: 863.6228, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.9099, scimark_benchmark: 1729.3645, usercpu_time_millis: 59.072, usercpu_time_millis_testing: 5.312, usercpu_time_millis_training: 53.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9088, kappa: 0.002, kb_relative_information_score: 1907.05, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9115, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.6598, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.7009, scimark_benchmark: 1725.8551, usercpu_time_millis: 85.792, usercpu_time_millis_testing: 4.173, usercpu_time_millis_training: 81.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9884, kappa: 0.8966, kb_relative_information_score: 9630.3386, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9885, predictive_accuracy: 0.9887, prior_entropy: 0.3338, recall: 0.9887, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.4061, scimark_benchmark: 1732.0988, usercpu_time_millis: 57.423, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 56.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9739, kappa: 0.7602, kb_relative_information_score: 1671.5113, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9745, predictive_accuracy: 0.9756, prior_entropy: 0.3338, recall: 0.9756, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.6931, scimark_benchmark: 1771.6211, usercpu_time_millis: 1027.635, usercpu_time_millis_testing: 2.967, usercpu_time_millis_training: 1024.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9839, kappa: 0.8559, kb_relative_information_score: 3817.947, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9841, predictive_accuracy: 0.9845, prior_entropy: 0.3338, recall: 0.9845, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.5771, scimark_benchmark: 1775.051, usercpu_time_millis: 1006.411, usercpu_time_millis_testing: 4.726, usercpu_time_millis_training: 1001.685,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9935, kappa: 0.9439, kb_relative_information_score: 11875.001, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.3103, scimark_benchmark: 1724.1528, usercpu_time_millis: 364.222, usercpu_time_millis_testing: 2.483, usercpu_time_millis_training: 361.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9854, kappa: 0.8685, kb_relative_information_score: 6093.692, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9858, predictive_accuracy: 0.986, prior_entropy: 0.3338, recall: 0.986, relative_absolute_error: 0.3873, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.4878, scimark_benchmark: 1694.8487, usercpu_time_millis: 232.859, usercpu_time_millis_testing: 4.086, usercpu_time_millis_training: 228.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9819, kappa: 0.8377, kb_relative_information_score: 3516.7548, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.982, predictive_accuracy: 0.9826, prior_entropy: 0.3338, recall: 0.9826, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.6263, scimark_benchmark: 1837.586, usercpu_time_millis: 2503.047, usercpu_time_millis_testing: 5.077, usercpu_time_millis_training: 2497.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9836, kappa: 0.8531, kb_relative_information_score: 6424.9345, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9836, predictive_accuracy: 0.9841, prior_entropy: 0.3338, recall: 0.9841, relative_absolute_error: 0.3373, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4883, scimark_benchmark: 1764.1694, usercpu_time_millis: 2098.367, usercpu_time_millis_testing: 8.5, usercpu_time_millis_training: 2089.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9935, kappa: 0.9439, kb_relative_information_score: 12623.1489, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.3338, recall: 0.9935, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.2943, scimark_benchmark: 1747.9921, usercpu_time_millis: 1295.286, usercpu_time_millis_testing: 3.901, usercpu_time_millis_training: 1291.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9933, kappa: 0.9419, kb_relative_information_score: 12086.2843, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.3106, scimark_benchmark: 1839.7313, usercpu_time_millis: 1181.411, usercpu_time_millis_testing: 3.649, usercpu_time_millis_training: 1177.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9936, kappa: 0.9447, kb_relative_information_score: 12275.3442, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.3338, recall: 0.9936, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.3022, scimark_benchmark: 1749.6012, usercpu_time_millis: 608.116, usercpu_time_millis_testing: 3.312, usercpu_time_millis_training: 604.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9925, kappa: 0.9345, kb_relative_information_score: 11571.5432, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.3291, scimark_benchmark: 1750.2736, usercpu_time_millis: 309.89, usercpu_time_millis_testing: 2.678, usercpu_time_millis_training: 307.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9936, kappa: 0.945, kb_relative_information_score: 12431.3018, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.3338, recall: 0.9936, relative_absolute_error: 0.1151, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.2964, scimark_benchmark: 1941.3069, usercpu_time_millis: 293.767, usercpu_time_millis_testing: 1.143, usercpu_time_millis_training: 292.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9743, kappa: 0.7582, kb_relative_information_score: 1466.1901, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9765, predictive_accuracy: 0.9766, prior_entropy: 0.3338, recall: 0.9766, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.6734, scimark_benchmark: 1834.565, usercpu_time_millis: 290.994, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 289.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9829, kappa: 0.8467, kb_relative_information_score: 8310.0245, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.983, predictive_accuracy: 0.9835, prior_entropy: 0.3338, recall: 0.9835, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.4607, scimark_benchmark: 1835.6541, usercpu_time_millis: 233.353, usercpu_time_millis_testing: 0.789, usercpu_time_millis_training: 232.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9945, kappa: 0.9523, kb_relative_information_score: 12583.7232, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 0.3338, recall: 0.9944, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0677, root_relative_squared_error: 0.2818, scimark_benchmark: 1855.6669, usercpu_time_millis: 707.45, usercpu_time_millis_testing: 3.894, usercpu_time_millis_training: 703.556,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9713, kappa: 0.7274, kb_relative_information_score: 1292.5955, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9741, predictive_accuracy: 0.9742, prior_entropy: 0.3338, recall: 0.9742, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.6851, scimark_benchmark: 1851.8567, usercpu_time_millis: 565.98, usercpu_time_millis_testing: 2.958, usercpu_time_millis_training: 563.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9932, kappa: 0.9412, kb_relative_information_score: 11721.3617, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9932, predictive_accuracy: 0.9933, prior_entropy: 0.3338, recall: 0.9933, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.3224, scimark_benchmark: 1835.324, usercpu_time_millis: 36.313, usercpu_time_millis_testing: 0.568, usercpu_time_millis_training: 35.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9924, kappa: 0.9335, kb_relative_information_score: 11535.7934, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9923, predictive_accuracy: 0.9924, prior_entropy: 0.3338, recall: 0.9924, relative_absolute_error: 0.1619, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.3333, scimark_benchmark: 1829.5713, usercpu_time_millis: 541.383, usercpu_time_millis_testing: 5.04, usercpu_time_millis_training: 536.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9688, kappa: 0.7019, kb_relative_information_score: 1329.1841, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9725, predictive_accuracy: 0.9724, prior_entropy: 0.3338, recall: 0.9724, relative_absolute_error: 0.5587, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.162, root_relative_squared_error: 0.6741, scimark_benchmark: 1847.7442, usercpu_time_millis: 30.865, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 30.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9921, kappa: 0.9308, kb_relative_information_score: 10455.3701, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9921, predictive_accuracy: 0.9922, prior_entropy: 0.3338, recall: 0.9922, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.3526, scimark_benchmark: 1748.2506, usercpu_time_millis: 20.496, usercpu_time_millis_testing: 0.484, usercpu_time_millis_training: 20.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.9087, kb_relative_information_score: -4.3085, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1845.7835, usercpu_time_millis: 21.787, usercpu_time_millis_testing: 2.674, usercpu_time_millis_training: 19.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9906, kappa: 0.9175, kb_relative_information_score: 10631.4144, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9905, predictive_accuracy: 0.9907, prior_entropy: 0.3338, recall: 0.9907, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.3804, scimark_benchmark: 1854.1098, usercpu_time_millis: 505.829, usercpu_time_millis_testing: 1.382, usercpu_time_millis_training: 504.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.9087, kb_relative_information_score: -411.6507, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1752.5388, usercpu_time_millis: 2.297, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 1.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.9087, kb_relative_information_score: -9.3655, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1938.8097, usercpu_time_millis: 6.721, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 5.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9907, kappa: 0.9184, kb_relative_information_score: 10690.8761, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9906, predictive_accuracy: 0.9908, prior_entropy: 0.3338, recall: 0.9908, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.3752, scimark_benchmark: 1852.9988, usercpu_time_millis: 467.343, usercpu_time_millis_testing: 1.274, usercpu_time_millis_training: 466.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9815, kappa: 0.8326, kb_relative_information_score: 2831.8514, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9818, predictive_accuracy: 0.9824, prior_entropy: 0.3338, recall: 0.9824, relative_absolute_error: 0.4977, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.6458, scimark_benchmark: 1854.4951, usercpu_time_millis: 429.242, usercpu_time_millis_testing: 1.89, usercpu_time_millis_training: 427.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9923, kappa: 0.9334, kb_relative_information_score: 11385.239, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9923, predictive_accuracy: 0.9924, prior_entropy: 0.3338, recall: 0.9924, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.3275, scimark_benchmark: 1833.6579, usercpu_time_millis: 312.17, usercpu_time_millis_testing: 2.352, usercpu_time_millis_training: 309.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9941, kappa: 0.9493, kb_relative_information_score: 12495.9387, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9942, predictive_accuracy: 0.9941, prior_entropy: 0.3338, recall: 0.9941, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.285, scimark_benchmark: 1850.2875, usercpu_time_millis: 291.513, usercpu_time_millis_testing: 1.444, usercpu_time_millis_training: 290.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9714, kappa: 0.7287, kb_relative_information_score: 1326.9055, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9741, predictive_accuracy: 0.9742, prior_entropy: 0.3338, recall: 0.9742, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.6837, scimark_benchmark: 1852.9988, usercpu_time_millis: 208.874, usercpu_time_millis_testing: 1.533, usercpu_time_millis_training: 207.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9849, kappa: 0.864, kb_relative_information_score: 5974.6087, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9854, predictive_accuracy: 0.9856, prior_entropy: 0.3338, recall: 0.9856, relative_absolute_error: 0.368, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.4858, scimark_benchmark: 1697.0731, usercpu_time_millis: 124.659, usercpu_time_millis_testing: 3.226, usercpu_time_millis_training: 121.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9919, kappa: 0.9285, kb_relative_information_score: 9104.1419, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.3338, recall: 0.992, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.093, root_relative_squared_error: 0.387, scimark_benchmark: 1823.6377, usercpu_time_millis: 107.133, usercpu_time_millis_testing: 2.81, usercpu_time_millis_training: 104.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9087, kb_relative_information_score: 1027.2435, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.182, root_relative_squared_error: 0.7572, scimark_benchmark: 1854.4951, usercpu_time_millis: 102.364, usercpu_time_millis_testing: 3.917, usercpu_time_millis_training: 98.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9928, kappa: 0.9374, kb_relative_information_score: 11222.0763, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9928, predictive_accuracy: 0.9928, prior_entropy: 0.3338, recall: 0.9928, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.327, scimark_benchmark: 1849.8294, usercpu_time_millis: 58.401, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 57.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9931, kappa: 0.9393, kb_relative_information_score: 10081.0559, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.993, predictive_accuracy: 0.9931, prior_entropy: 0.3338, recall: 0.9931, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.3596, scimark_benchmark: 1843.657, usercpu_time_millis: 16.092, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 15.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.9087, kb_relative_information_score: -6.0353, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 17.144, usercpu_time_millis_testing: 2.052, usercpu_time_millis_training: 15.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9087, kb_relative_information_score: -5.4934, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 13.761, usercpu_time_millis_testing: 2.253, usercpu_time_millis_training: 11.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.9087, kb_relative_information_score: 5.2493, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2403, root_relative_squared_error: 1, scimark_benchmark: 1831.1542, usercpu_time_millis: 9.737, usercpu_time_millis_testing: 1.516, usercpu_time_millis_training: 8.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9631, kappa: 0.6408, kb_relative_information_score: 1144.1968, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9682, predictive_accuracy: 0.968, prior_entropy: 0.3338, recall: 0.968, relative_absolute_error: 0.5658, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.6845, scimark_benchmark: 1730.2409, usercpu_time_millis: 294.543, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 292.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9695, kappa: 0.709, kb_relative_information_score: 4887.7652, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 0.3338, recall: 0.9729, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.5813, scimark_benchmark: 1754.9407, usercpu_time_millis: 213.246, usercpu_time_millis_testing: 16.991, usercpu_time_millis_training: 196.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9941, kappa: 0.9496, kb_relative_information_score: 12712.5201, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9942, predictive_accuracy: 0.9941, prior_entropy: 0.3338, recall: 0.9941, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.2876, scimark_benchmark: 1837.586, usercpu_time_millis: 2298.254, usercpu_time_millis_testing: 5.831, usercpu_time_millis_training: 2292.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9934, kappa: 0.9426, kb_relative_information_score: 11643.5535, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 0.3338, recall: 0.9934, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.3181, scimark_benchmark: 1736.63, usercpu_time_millis: 421.841, usercpu_time_millis_testing: 4.147, usercpu_time_millis_training: 417.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9926, kappa: 0.9356, kb_relative_information_score: 10528.078, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9926, predictive_accuracy: 0.9927, prior_entropy: 0.3338, recall: 0.9927, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.3472, scimark_benchmark: 1752.6387, usercpu_time_millis: 133.472, usercpu_time_millis_testing: 2.448, usercpu_time_millis_training: 131.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9748, kappa: 0.7643, kb_relative_information_score: 1588.3465, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9767, predictive_accuracy: 0.9769, prior_entropy: 0.3338, recall: 0.9769, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.6854, scimark_benchmark: 1736.1862, usercpu_time_millis: 790.536, usercpu_time_millis_testing: 3.11, usercpu_time_millis_training: 787.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9725, kappa: 0.741, kb_relative_information_score: 1493.8439, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9749, predictive_accuracy: 0.9751, prior_entropy: 0.3338, recall: 0.9751, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.6826, scimark_benchmark: 1839.6597, usercpu_time_millis: 1158.297, usercpu_time_millis_testing: 3.991, usercpu_time_millis_training: 1154.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9788, kappa: 0.8041, kb_relative_information_score: 2363.1011, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9799, predictive_accuracy: 0.9802, prior_entropy: 0.3338, recall: 0.9802, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.6286, scimark_benchmark: 1733.8995, usercpu_time_millis: 651.015, usercpu_time_millis_testing: 2.927, usercpu_time_millis_training: 648.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.994, kappa: 0.9484, kb_relative_information_score: 12092.5831, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.3338, recall: 0.994, relative_absolute_error: 0.1362, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.2998, scimark_benchmark: 1833.5944, usercpu_time_millis: 533.49, usercpu_time_millis_testing: 3.221, usercpu_time_millis_training: 530.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9697, kappa: 0.7105, kb_relative_information_score: 4739.9131, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 0.3338, recall: 0.973, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.5813, scimark_benchmark: 1829.632, usercpu_time_millis: 364.666, usercpu_time_millis_testing: 17.226, usercpu_time_millis_training: 347.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.91, kappa: 0.0168, kb_relative_information_score: 2911.5633, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9427, predictive_accuracy: 0.939, prior_entropy: 0.3338, recall: 0.939, relative_absolute_error: 0.6825, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.7099, scimark_benchmark: 1835.7111, usercpu_time_millis: 93.343, usercpu_time_millis_testing: 6.9, usercpu_time_millis_training: 86.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9763, kappa: 0.779, kb_relative_information_score: 1565.0636, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9782, predictive_accuracy: 0.9783, prior_entropy: 0.3338, recall: 0.9783, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.6805, scimark_benchmark: 1840.1791, usercpu_time_millis: 574.95, usercpu_time_millis_testing: 2.906, usercpu_time_millis_training: 572.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9683, kappa: 0.696, kb_relative_information_score: 1160.3931, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.3338, recall: 0.9719, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.165, root_relative_squared_error: 0.6866, scimark_benchmark: 1839.7313, usercpu_time_millis: 573.981, usercpu_time_millis_testing: 2.443, usercpu_time_millis_training: 571.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.909, kappa: 0.0042, kb_relative_information_score: 2776.0867, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9424, predictive_accuracy: 0.9386, prior_entropy: 0.3338, recall: 0.9386, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.7159, scimark_benchmark: 1821.6628, usercpu_time_millis: 76.565, usercpu_time_millis_testing: 4.992, usercpu_time_millis_training: 71.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.938, kappa: 0.356, kb_relative_information_score: 2837.7856, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9533, predictive_accuracy: 0.9522, prior_entropy: 0.3338, recall: 0.9522, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.6624, scimark_benchmark: 2100.6567, usercpu_time_millis: 75.63, usercpu_time_millis_testing: 4.179, usercpu_time_millis_training: 71.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9087, kb_relative_information_score: 1613.5278, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.7527, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.771, scimark_benchmark: 1824.7958, usercpu_time_millis: 73.337, usercpu_time_millis_testing: 6.178, usercpu_time_millis_training: 67.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9087, kb_relative_information_score: 1307.5831, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.8815, scimark_benchmark: 1834.8102, usercpu_time_millis: 63.689, usercpu_time_millis_testing: 5.266, usercpu_time_millis_training: 58.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9803, kappa: 0.8196, kb_relative_information_score: 3661.9615, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9811, predictive_accuracy: 0.9815, prior_entropy: 0.3338, recall: 0.9815, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.5756, scimark_benchmark: 2113.0114, usercpu_time_millis: 55.658, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 55.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9087, kb_relative_information_score: 1489.5672, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.8617, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.8676, scimark_benchmark: 1833.6579, usercpu_time_millis: 36.837, usercpu_time_millis_testing: 2.895, usercpu_time_millis_training: 33.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9146, kappa: 0.0736, kb_relative_information_score: 3019.6111, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9444, predictive_accuracy: 0.941, prior_entropy: 0.3338, recall: 0.941, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.6993, scimark_benchmark: 1717.1397, usercpu_time_millis: 19.663, usercpu_time_millis_testing: 1.372, usercpu_time_millis_training: 18.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9365, kappa: 0.3387, kb_relative_information_score: 2836.8222, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9528, predictive_accuracy: 0.9514, prior_entropy: 0.3338, recall: 0.9514, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.6728, scimark_benchmark: 1828.5449, usercpu_time_millis: 17.896, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 16.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9087, kb_relative_information_score: 837.8969, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.8807, predictive_accuracy: 0.9385, prior_entropy: 0.3338, recall: 0.9385, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.218, root_relative_squared_error: 0.907, scimark_benchmark: 1811.892, usercpu_time_millis: 5.555, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 4.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9919, kappa: 0.9286, kb_relative_information_score: 9098.8567, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9919, predictive_accuracy: 0.992, prior_entropy: 0.3338, recall: 0.992, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.3892, scimark_benchmark: 1742.5462, usercpu_time_millis: 435.79, usercpu_time_millis_testing: 9.457, usercpu_time_millis_training: 426.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9925, kappa: 0.9346, kb_relative_information_score: 11510.6726, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9924, predictive_accuracy: 0.9925, prior_entropy: 0.3338, recall: 0.9925, relative_absolute_error: 0.1544, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.3375, scimark_benchmark: 1848.7762, usercpu_time_millis: 416.734, usercpu_time_millis_testing: 1.639, usercpu_time_millis_training: 415.095,

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