OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -1.9651, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.454, usercpu_time_millis: 31.734, usercpu_time_millis_testing: 5.949, usercpu_time_millis_training: 25.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -17.8415, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1853.9121, usercpu_time_millis: 24.983, usercpu_time_millis_testing: 4.135, usercpu_time_millis_training: 20.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -34.3618, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1851.3287, usercpu_time_millis: 18.171, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 16.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.7551, kb_relative_information_score: -1932.0661, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.9796, scimark_benchmark: 1836.9989, usercpu_time_millis: 8.381, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 7.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -50.2756, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1852.4707, usercpu_time_millis: 3.069, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 2.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.7551, kb_relative_information_score: -2197.9238, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.987, scimark_benchmark: 1852.9307, usercpu_time_millis: 18.929, usercpu_time_millis_testing: 1.811, usercpu_time_millis_training: 17.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7576, kappa: 0.0102, kb_relative_information_score: -2089.7746, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8246, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1835.6067, usercpu_time_millis: 11.543, usercpu_time_millis_testing: 0.652, usercpu_time_millis_training: 10.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.7551, kb_relative_information_score: -3132.1838, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9766, scimark_benchmark: 1853.454, usercpu_time_millis: 3.839, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 3.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.7551, kb_relative_information_score: -3075.8622, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9766, scimark_benchmark: 1795.0163, usercpu_time_millis: 5.16, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 4.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.7551, kb_relative_information_score: -1463.3919, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9886, scimark_benchmark: 1851.1348, usercpu_time_millis: 8.521, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 7.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7586, kappa: 0.0146, kb_relative_information_score: -2699.8192, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7736, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1823.0405, usercpu_time_millis: 1016.207, usercpu_time_millis_testing: 14.566, usercpu_time_millis_training: 1001.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7584, kappa: 0.0138, kb_relative_information_score: -2656.686, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7723, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1827.3632, usercpu_time_millis: 932.244, usercpu_time_millis_testing: 16.498, usercpu_time_millis_training: 915.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7602, kappa: 0.0213, kb_relative_information_score: -2533.2975, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7809, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1805.106, usercpu_time_millis: 806.606, usercpu_time_millis_testing: 11.666, usercpu_time_millis_training: 794.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7695, kappa: 0.0601, kb_relative_information_score: -2394.4161, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1849.447, usercpu_time_millis: 692.039, usercpu_time_millis_testing: 8.568, usercpu_time_millis_training: 683.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.7695, kappa: 0.0602, kb_relative_information_score: -2409.6088, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1816.1245, usercpu_time_millis: 729.509, usercpu_time_millis_testing: 10.11, usercpu_time_millis_training: 719.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7586, kappa: 0.0146, kb_relative_information_score: -2628.7038, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7773, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1830.9008, usercpu_time_millis: 681.925, usercpu_time_millis_testing: 12.799, usercpu_time_millis_training: 669.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7707, kappa: 0.0653, kb_relative_information_score: -2808.7105, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.797, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1791.4993, usercpu_time_millis: 595.189, usercpu_time_millis_testing: 6.463, usercpu_time_millis_training: 588.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -2376.3514, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7809, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1800.7237, usercpu_time_millis: 611.127, usercpu_time_millis_testing: 15.741, usercpu_time_millis_training: 595.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7583, kappa: 0.0133, kb_relative_information_score: -2503.9883, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7896, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1807.4586, usercpu_time_millis: 571.873, usercpu_time_millis_testing: 17.911, usercpu_time_millis_training: 553.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7591, kappa: 0.0164, kb_relative_information_score: -2538.8498, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7801, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1811.2636, usercpu_time_millis: 564.283, usercpu_time_millis_testing: 11.739, usercpu_time_millis_training: 552.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7689, kappa: 0.0575, kb_relative_information_score: -2316.5682, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1827.813, usercpu_time_millis: 543.153, usercpu_time_millis_testing: 9.621, usercpu_time_millis_training: 533.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7699, kappa: 0.0618, kb_relative_information_score: -2706.7642, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9626, scimark_benchmark: 1818.6485, usercpu_time_millis: 526.637, usercpu_time_millis_testing: 7.31, usercpu_time_millis_training: 519.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2630.7265, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7699, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1825.8301, usercpu_time_millis: 465.158, usercpu_time_millis_testing: 9.432, usercpu_time_millis_training: 455.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7584, kappa: 0.0136, kb_relative_information_score: -2504.3292, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1825.8415, usercpu_time_millis: 506.331, usercpu_time_millis_testing: 14.987, usercpu_time_millis_training: 491.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7694, kappa: 0.06, kb_relative_information_score: -2258.8467, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1832.3122, usercpu_time_millis: 488.327, usercpu_time_millis_testing: 6.025, usercpu_time_millis_training: 482.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.7686, kappa: 0.0573, kb_relative_information_score: -2694.0432, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7785, predictive_accuracy: 0.8313, prior_entropy: 0.6541, recall: 0.8313, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1817.0717, usercpu_time_millis: 484.023, usercpu_time_millis_testing: 4.363, usercpu_time_millis_training: 479.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7702, kappa: 0.0633, kb_relative_information_score: -2734.1284, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9631, scimark_benchmark: 1830.387, usercpu_time_millis: 426.122, usercpu_time_millis_testing: 5.275, usercpu_time_millis_training: 420.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7565, kappa: 0.0058, kb_relative_information_score: -2217.4153, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8042, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1779.1351, usercpu_time_millis: 472.737, usercpu_time_millis_testing: 21.865, usercpu_time_millis_training: 450.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7583, kappa: 0.0131, kb_relative_information_score: -2368.0451, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8023, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 1825.515, usercpu_time_millis: 452.009, usercpu_time_millis_testing: 17.408, usercpu_time_millis_training: 434.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.766, kappa: 0.0452, kb_relative_information_score: -2267.7166, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1812.6432, usercpu_time_millis: 411.043, usercpu_time_millis_testing: 10.377, usercpu_time_millis_training: 400.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, f_measure: 0.7685, kappa: 0.0559, kb_relative_information_score: -2213.1376, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9605, scimark_benchmark: 1794.9616, usercpu_time_millis: 398.267, usercpu_time_millis_testing: 7.68, usercpu_time_millis_training: 390.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.763, kappa: 0.0326, kb_relative_information_score: -2238.0596, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.804, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1844.9447, usercpu_time_millis: 380.378, usercpu_time_millis_testing: 11.572, usercpu_time_millis_training: 368.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.756, kappa: 0.0037, kb_relative_information_score: -2447.6251, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7738, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9693, scimark_benchmark: 1838.6023, usercpu_time_millis: 410.924, usercpu_time_millis_testing: 12.219, usercpu_time_millis_training: 398.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7616, kappa: 0.0269, kb_relative_information_score: -2632.1082, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.802, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1811.3287, usercpu_time_millis: 352.717, usercpu_time_millis_testing: 13.422, usercpu_time_millis_training: 339.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7573, kappa: 0.0088, kb_relative_information_score: -2422.6972, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8026, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9661, scimark_benchmark: 1770.8021, usercpu_time_millis: 428.987, usercpu_time_millis_testing: 22.278, usercpu_time_millis_training: 406.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7674, kappa: 0.051, kb_relative_information_score: -2180.4022, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8004, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598, scimark_benchmark: 1838.168, usercpu_time_millis: 401.644, usercpu_time_millis_testing: 11.177, usercpu_time_millis_training: 390.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -2367.411, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7878, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 1830.9008, usercpu_time_millis: 410.591, usercpu_time_millis_testing: 13.578, usercpu_time_millis_training: 397.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.7566, kappa: 0.0059, kb_relative_information_score: -2254.5211, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1855.4813, usercpu_time_millis: 328.063, usercpu_time_millis_testing: 18.861, usercpu_time_millis_training: 309.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7592, kappa: 0.0169, kb_relative_information_score: -2434.1081, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.788, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1815.6868, usercpu_time_millis: 327.245, usercpu_time_millis_testing: 7.908, usercpu_time_millis_training: 319.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.7587, kappa: 0.0146, kb_relative_information_score: -2255.2226, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8129, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1832.5979, usercpu_time_millis: 295.656, usercpu_time_millis_testing: 16.661, usercpu_time_millis_training: 278.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.7572, kappa: 0.0087, kb_relative_information_score: -3286.3681, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9781, scimark_benchmark: 1824.8789, usercpu_time_millis: 318.011, usercpu_time_millis_testing: 11.12, usercpu_time_millis_training: 306.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7615, kappa: 0.0262, kb_relative_information_score: -2603.9016, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1815.7585, usercpu_time_millis: 284.409, usercpu_time_millis_testing: 13.552, usercpu_time_millis_training: 270.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7682, kappa: 0.0545, kb_relative_information_score: -2466.5744, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9297, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1841.7343, usercpu_time_millis: 298.104, usercpu_time_millis_testing: 7.091, usercpu_time_millis_training: 291.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.7551, kappa: 0.0001, kb_relative_information_score: -2532.7017, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7336, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.948, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1819.9104, usercpu_time_millis: 310.825, usercpu_time_millis_testing: 14.722, usercpu_time_millis_training: 296.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.7561, kappa: 0.0042, kb_relative_information_score: -2856.1567, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7781, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1814.9885, usercpu_time_millis: 264.485, usercpu_time_millis_testing: 8.333, usercpu_time_millis_training: 256.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2445.601, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7993, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1851.4874, usercpu_time_millis: 244.553, usercpu_time_millis_testing: 8.612, usercpu_time_millis_training: 235.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.7551, kb_relative_information_score: -2489.3122, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9698, scimark_benchmark: 1847.934, usercpu_time_millis: 307.376, usercpu_time_millis_testing: 13.779, usercpu_time_millis_training: 293.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.7756, kappa: 0.0869, kb_relative_information_score: -3441.2278, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7945, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1849.8294, usercpu_time_millis: 251.201, usercpu_time_millis_testing: 4.565, usercpu_time_millis_training: 246.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7551, kb_relative_information_score: -2524.227, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 1810.8367, usercpu_time_millis: 319.242, usercpu_time_millis_testing: 10.652, usercpu_time_millis_training: 308.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7554, kappa: 0.001, kb_relative_information_score: -1844.1721, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7852, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1831.9204, usercpu_time_millis: 238.379, usercpu_time_millis_testing: 17.267, usercpu_time_millis_training: 221.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7625, kappa: 0.0304, kb_relative_information_score: -2331.1206, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8093, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1825.8301, usercpu_time_millis: 214.509, usercpu_time_millis_testing: 13.912, usercpu_time_millis_training: 200.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7593, kappa: 0.017, kb_relative_information_score: -2233.4382, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8166, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.941, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9637, scimark_benchmark: 1804.5023, usercpu_time_millis: 296.817, usercpu_time_millis_testing: 16.174, usercpu_time_millis_training: 280.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.7551, kb_relative_information_score: -2586.3037, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9719, scimark_benchmark: 1852.0126, usercpu_time_millis: 217.103, usercpu_time_millis_testing: 13.322, usercpu_time_millis_training: 203.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.7572, kappa: 0.0087, kb_relative_information_score: -3274.0767, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9778, scimark_benchmark: 1845.3986, usercpu_time_millis: 277.694, usercpu_time_millis_testing: 10.169, usercpu_time_millis_training: 267.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7551, kb_relative_information_score: -1956.2699, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1816.1245, usercpu_time_millis: 240.18, usercpu_time_millis_testing: 17.313, usercpu_time_millis_training: 222.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7551, kb_relative_information_score: -2349.5658, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1809.1895, usercpu_time_millis: 278.438, usercpu_time_millis_testing: 16.59, usercpu_time_millis_training: 261.848,
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: 0.6885, f_measure: 0.7612, kappa: 0.0251, kb_relative_information_score: -2574.5514, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1809.2646, usercpu_time_millis: 251.665, usercpu_time_millis_testing: 10.452, usercpu_time_millis_training: 241.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7675, kappa: 0.0518, kb_relative_information_score: -2777.9059, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7983, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1817.1383, usercpu_time_millis: 256.661, usercpu_time_millis_testing: 9.477, usercpu_time_millis_training: 247.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7689, kappa: 0.0576, kb_relative_information_score: -2613.7602, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9603, scimark_benchmark: 1824.4957, usercpu_time_millis: 169.903, usercpu_time_millis_testing: 5.255, usercpu_time_millis_training: 164.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.7556, kappa: 0.002, kb_relative_information_score: -3162.9235, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7803, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9757, scimark_benchmark: 1807.4586, usercpu_time_millis: 251.151, usercpu_time_millis_testing: 10.674, usercpu_time_millis_training: 240.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7561, kappa: 0.0042, kb_relative_information_score: -2396.1692, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7909, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1839.0605, usercpu_time_millis: 157.572, usercpu_time_millis_testing: 14.794, usercpu_time_millis_training: 142.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2420.9573, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8047, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1813.6027, usercpu_time_millis: 210.453, usercpu_time_millis_testing: 6.671, usercpu_time_millis_training: 203.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.7583, kappa: 0.0129, kb_relative_information_score: -2282.8141, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8155, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1847.3406, usercpu_time_millis: 135.759, usercpu_time_millis_testing: 8.133, usercpu_time_millis_training: 127.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.7776, kappa: 0.0981, kb_relative_information_score: -4279.4359, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7821, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9758, scimark_benchmark: 1836.0792, usercpu_time_millis: 201.224, usercpu_time_millis_testing: 2.493, usercpu_time_millis_training: 198.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7602, kappa: 0.0212, kb_relative_information_score: -2461.2507, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7957, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649, scimark_benchmark: 1817.4294, usercpu_time_millis: 204.39, usercpu_time_millis_testing: 3.773, usercpu_time_millis_training: 200.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7614, kappa: 0.0259, kb_relative_information_score: -2476.7513, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.802, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1794.5317, usercpu_time_millis: 207.517, usercpu_time_millis_testing: 9.88, usercpu_time_millis_training: 197.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7596, kappa: 0.0186, kb_relative_information_score: -2464.0053, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1829.576, usercpu_time_millis: 221.234, usercpu_time_millis_testing: 7.388, usercpu_time_millis_training: 213.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7564, kappa: 0.0054, kb_relative_information_score: -2501.6662, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7946, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9494, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1790.2164, usercpu_time_millis: 200.638, usercpu_time_millis_testing: 17.801, usercpu_time_millis_training: 182.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.7589, kappa: 0.0156, kb_relative_information_score: -2654.5146, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8054, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1815.3907, usercpu_time_millis: 157.178, usercpu_time_millis_testing: 8.977, usercpu_time_millis_training: 148.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7551, kappa: 0, kb_relative_information_score: -2424.8921, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7252, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1797.4303, usercpu_time_millis: 197.401, usercpu_time_millis_testing: 8.518, usercpu_time_millis_training: 188.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7615, kappa: 0.0265, kb_relative_information_score: -2584.3026, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1809.2646, usercpu_time_millis: 193.551, usercpu_time_millis_testing: 4.371, usercpu_time_millis_training: 189.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.7551, kb_relative_information_score: -2591.6177, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9486, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9703, scimark_benchmark: 1804.0049, usercpu_time_millis: 165.388, usercpu_time_millis_testing: 5.164, usercpu_time_millis_training: 160.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7704, kappa: 0.0637, kb_relative_information_score: -2349.7953, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8013, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1832.9508, usercpu_time_millis: 164.61, usercpu_time_millis_testing: 2.136, usercpu_time_millis_training: 162.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7618, kappa: 0.0276, kb_relative_information_score: -2567.4222, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1836.8952, usercpu_time_millis: 180.165, usercpu_time_millis_testing: 7.251, usercpu_time_millis_training: 172.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.7551, kb_relative_information_score: -1885.2492, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9693, scimark_benchmark: 1812.1403, usercpu_time_millis: 193.293, usercpu_time_millis_testing: 13.416, usercpu_time_millis_training: 179.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7557, kappa: 0.0025, kb_relative_information_score: -2478.2134, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7728, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1831.9885, usercpu_time_millis: 190.469, usercpu_time_millis_testing: 9.843, usercpu_time_millis_training: 180.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: -2297.4641, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7421, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1830.9008, usercpu_time_millis: 186.153, usercpu_time_millis_testing: 11.099, usercpu_time_millis_training: 175.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.7551, kb_relative_information_score: -3086.5566, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1831.4094, usercpu_time_millis: 85.785, usercpu_time_millis_testing: 7.294, usercpu_time_millis_training: 78.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.7669, kappa: 0.049, kb_relative_information_score: -2147.6527, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.9591, scimark_benchmark: 1839.0316, usercpu_time_millis: 151.856, usercpu_time_millis_testing: 5.083, usercpu_time_millis_training: 146.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7551, kappa: 0.0001, kb_relative_information_score: -2327.4791, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7336, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1796.3157, usercpu_time_millis: 154.008, usercpu_time_millis_testing: 7.913, usercpu_time_millis_training: 146.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.7551, kb_relative_information_score: -2634.9148, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9786, scimark_benchmark: 1798.5267, usercpu_time_millis: 168.003, usercpu_time_millis_testing: 11.35, usercpu_time_millis_training: 156.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.7641, kappa: 0.0372, kb_relative_information_score: -2798.3666, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8056, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9626, scimark_benchmark: 1850.0581, usercpu_time_millis: 104.883, usercpu_time_millis_testing: 7.296, usercpu_time_millis_training: 97.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -21.0928, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1805.8109, usercpu_time_millis: 118.793, usercpu_time_millis_testing: 9.142, usercpu_time_millis_training: 109.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.7551, kb_relative_information_score: -3231.1824, mean_absolute_error: 0.2695, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9782, scimark_benchmark: 1800.2395, usercpu_time_millis: 144.145, usercpu_time_millis_testing: 5.458, usercpu_time_millis_training: 138.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.7551, kb_relative_information_score: -1696.5606, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9885, scimark_benchmark: 1822.3834, usercpu_time_millis: 76.897, usercpu_time_millis_testing: 8.918, usercpu_time_millis_training: 67.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7551, kb_relative_information_score: -2069.1848, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.971, scimark_benchmark: 1832.4342, usercpu_time_millis: 114.363, usercpu_time_millis_testing: 8.394, usercpu_time_millis_training: 105.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.7567, kappa: 0.0064, kb_relative_information_score: -3270.6062, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9754, scimark_benchmark: 1783.7736, usercpu_time_millis: 147.309, usercpu_time_millis_testing: 11.888, usercpu_time_millis_training: 135.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.7551, kb_relative_information_score: -2516.2188, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9702, scimark_benchmark: 1811.5037, usercpu_time_millis: 137.089, usercpu_time_millis_testing: 3.778, usercpu_time_millis_training: 133.311,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.7551, kb_relative_information_score: -1276.8536, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9895, scimark_benchmark: 1807.3098, usercpu_time_millis: 53.123, usercpu_time_millis_testing: 6.137, usercpu_time_millis_training: 46.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7675, kappa: 0.0518, kb_relative_information_score: -2412.1963, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9629, scimark_benchmark: 1823.3401, usercpu_time_millis: 47.105, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 46.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.7551, kb_relative_information_score: -1709.1794, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9887, scimark_benchmark: 1849.7595, usercpu_time_millis: 48.38, usercpu_time_millis_testing: 4.68, usercpu_time_millis_training: 43.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6325, f_measure: 0.7551, kb_relative_information_score: -2205.7959, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.988, scimark_benchmark: 1809.7648, usercpu_time_millis: 120.899, usercpu_time_millis_testing: 8.262, usercpu_time_millis_training: 112.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.7551, kb_relative_information_score: -2066.4585, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9869, scimark_benchmark: 1828.922, usercpu_time_millis: 62.589, usercpu_time_millis_testing: 7.923, usercpu_time_millis_training: 54.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.7551, kb_relative_information_score: -1593.3105, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9863, scimark_benchmark: 1792.5741, usercpu_time_millis: 93.495, usercpu_time_millis_testing: 8.348, usercpu_time_millis_training: 85.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -23.2088, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1828.8966, usercpu_time_millis: 111.352, usercpu_time_millis_testing: 8.047, usercpu_time_millis_training: 103.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.7551, kb_relative_information_score: -1420.7226, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9894, scimark_benchmark: 1823.9932, usercpu_time_millis: 101.101, usercpu_time_millis_testing: 8.932, usercpu_time_millis_training: 92.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 0.3003, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 40.1, usercpu_time_millis_testing: 6.84, usercpu_time_millis_training: 33.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7624, kappa: 0.03, kb_relative_information_score: -2362.4215, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8036, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1817.9546, usercpu_time_millis: 92.6, usercpu_time_millis_testing: 1.948, usercpu_time_millis_training: 90.652,

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