Task
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 7295 Supervised Classification Click_prediction_small 39610 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

39610 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, average_cost: 16.7958, f_measure: 0.7561, kappa: 0.0041, kb_relative_information_score: -2491.7208, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7854, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1844.2676, total_cost: 670960, usercpu_time_millis: 188.607, usercpu_time_millis_testing: 7.691, usercpu_time_millis_training: 180.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1972.1362, mean_absolute_error: 0.2703, 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: 0.965, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1851.4874, total_cost: 672800, usercpu_time_millis: 175.345, usercpu_time_millis_testing: 15.34, usercpu_time_millis_training: 160.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, average_cost: 16.8244, f_measure: 0.7555, kappa: 0.0015, kb_relative_information_score: -2537.5317, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7665, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1846.6923, total_cost: 672100, usercpu_time_millis: 148.922, usercpu_time_millis_testing: 8.445, usercpu_time_millis_training: 140.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1690.8671, mean_absolute_error: 0.2748, 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: 0.9809, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9845, scimark_benchmark: 1851.3591, total_cost: 672800, usercpu_time_millis: 160.983, usercpu_time_millis_testing: 13.222, usercpu_time_millis_training: 147.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, average_cost: 16.7245, f_measure: 0.7579, kappa: 0.0112, kb_relative_information_score: -1753.7487, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8293, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1855.8331, total_cost: 668110, usercpu_time_millis: 158.847, usercpu_time_millis_testing: 9.047, usercpu_time_millis_training: 149.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2524.7464, mean_absolute_error: 0.2759, 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: 0.985, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9894, scimark_benchmark: 1836.1651, total_cost: 672800, usercpu_time_millis: 163.241, usercpu_time_millis_testing: 10.44, usercpu_time_millis_training: 152.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, average_cost: 16.8239, f_measure: 0.7555, kappa: 0.0016, kb_relative_information_score: -2464.995, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7758, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1830.9658, total_cost: 672080, usercpu_time_millis: 169.965, usercpu_time_millis_testing: 6.806, usercpu_time_millis_training: 163.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, average_cost: 16.5933, f_measure: 0.7608, kappa: 0.0233, kb_relative_information_score: -2345.3534, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1831.6625, total_cost: 662870, usercpu_time_millis: 180.904, usercpu_time_millis_testing: 8.748, usercpu_time_millis_training: 172.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3162.0361, mean_absolute_error: 0.2689, 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: 0.9599, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9764, scimark_benchmark: 1834.8102, total_cost: 672800, usercpu_time_millis: 193.512, usercpu_time_millis_testing: 8.867, usercpu_time_millis_training: 184.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, average_cost: 16.7896, f_measure: 0.7562, kappa: 0.0046, kb_relative_information_score: -2871.534, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7799, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9713, scimark_benchmark: 1838.236, total_cost: 670710, usercpu_time_millis: 172.016, usercpu_time_millis_testing: 13.1, usercpu_time_millis_training: 158.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6831, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2549.7915, mean_absolute_error: 0.2664, 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: 0.9509, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9702, scimark_benchmark: 1842.446, total_cost: 672800, usercpu_time_millis: 178.169, usercpu_time_millis_testing: 6.96, usercpu_time_millis_training: 171.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, average_cost: 16.6662, f_measure: 0.7588, kappa: 0.0151, kb_relative_information_score: -2641.4368, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7768, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1854.4951, total_cost: 665780, usercpu_time_millis: 152.366, usercpu_time_millis_testing: 2.087, usercpu_time_millis_training: 150.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1978.7602, mean_absolute_error: 0.2706, 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: 0.966, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9748, scimark_benchmark: 1848.2024, total_cost: 672800, usercpu_time_millis: 136.355, usercpu_time_millis_testing: 9.907, usercpu_time_millis_training: 126.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, average_cost: 16.1312, f_measure: 0.7701, kappa: 0.0626, kb_relative_information_score: -2788.3335, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8015, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1850.8706, total_cost: 644410, usercpu_time_millis: 162.402, usercpu_time_millis_testing: 4.58, usercpu_time_millis_training: 157.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, average_cost: 16.8354, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -2428.7165, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7637, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1836.1651, total_cost: 672540, usercpu_time_millis: 137.286, usercpu_time_millis_testing: 6.625, usercpu_time_millis_training: 130.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, average_cost: 16.6319, f_measure: 0.7598, kappa: 0.0192, kb_relative_information_score: -2504.2555, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1851.9456, total_cost: 664410, usercpu_time_millis: 162.779, usercpu_time_millis_testing: 4.796, usercpu_time_millis_training: 157.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1981.8802, mean_absolute_error: 0.27, 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: 0.964, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1829.1442, total_cost: 672800, usercpu_time_millis: 108.942, usercpu_time_millis_testing: 7.16, usercpu_time_millis_training: 101.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2074.3616, mean_absolute_error: 0.2759, 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: 0.9848, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9884, scimark_benchmark: 1843.1261, total_cost: 672800, usercpu_time_millis: 105.405, usercpu_time_millis_testing: 10.227, usercpu_time_millis_training: 95.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, average_cost: 16.7813, f_measure: 0.7565, kappa: 0.0058, kb_relative_information_score: -2115.1309, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8195, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9582, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1816.9791, total_cost: 670380, usercpu_time_millis: 96.729, usercpu_time_millis_testing: 10.644, usercpu_time_millis_training: 86.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3495.6153, mean_absolute_error: 0.2726, 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: 0.9732, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9832, scimark_benchmark: 1841.6688, total_cost: 672800, usercpu_time_millis: 145.623, usercpu_time_millis_testing: 9.853, usercpu_time_millis_training: 135.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6973, average_cost: 16.7205, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2177.7207, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8053, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1848.388, total_cost: 667950, usercpu_time_millis: 133.141, usercpu_time_millis_testing: 5.456, usercpu_time_millis_training: 127.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, average_cost: 16.0581, f_measure: 0.7714, kappa: 0.0681, kb_relative_information_score: -2423.7186, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7985, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1847.8629, total_cost: 641490, usercpu_time_millis: 136.796, usercpu_time_millis_testing: 1.727, usercpu_time_millis_training: 135.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, average_cost: 16.7498, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3099.413, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9741, scimark_benchmark: 1852.0126, total_cost: 669120, usercpu_time_millis: 117.454, usercpu_time_millis_testing: 3.1, usercpu_time_millis_training: 114.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1949.3788, mean_absolute_error: 0.2713, 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: 0.9686, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9764, scimark_benchmark: 1849.408, total_cost: 672800, usercpu_time_millis: 114.993, usercpu_time_millis_testing: 11.536, usercpu_time_millis_training: 103.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -6.507, 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: 1852.9259, total_cost: 672800, usercpu_time_millis: 100.798, usercpu_time_millis_testing: 8.799, usercpu_time_millis_training: 91.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3761.8182, mean_absolute_error: 0.2717, 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: 0.9699, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9824, scimark_benchmark: 1855.4813, total_cost: 672800, usercpu_time_millis: 75.131, usercpu_time_millis_testing: 8.689, usercpu_time_millis_training: 66.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3175.2194, mean_absolute_error: 0.2727, 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: 0.9736, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9824, scimark_benchmark: 1841.3483, total_cost: 672800, usercpu_time_millis: 126.11, usercpu_time_millis_testing: 8.937, usercpu_time_millis_training: 117.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, average_cost: 15.557, f_measure: 0.7782, kappa: 0.1009, kb_relative_information_score: -4440.2214, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7834, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.977, scimark_benchmark: 1838.8304, total_cost: 621470, usercpu_time_millis: 123.951, usercpu_time_millis_testing: 1.978, usercpu_time_millis_training: 121.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, average_cost: 16.7122, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -2554.2349, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7804, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1858.6076, total_cost: 667620, usercpu_time_millis: 114.228, usercpu_time_millis_testing: 1.706, usercpu_time_millis_training: 112.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1867.9863, mean_absolute_error: 0.2757, 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: 0.9843, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9875, scimark_benchmark: 2013.1239, total_cost: 672800, usercpu_time_millis: 63.273, usercpu_time_millis_testing: 7.485, usercpu_time_millis_training: 55.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2158.4016, mean_absolute_error: 0.2758, 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: 0.9845, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9882, scimark_benchmark: 1853.9849, total_cost: 672800, usercpu_time_millis: 107.658, usercpu_time_millis_testing: 9.487, usercpu_time_millis_training: 98.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, average_cost: 16.6514, f_measure: 0.7593, kappa: 0.0171, kb_relative_information_score: -2664.3474, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7907, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9664, scimark_benchmark: 1829.2866, total_cost: 665190, usercpu_time_millis: 64.046, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 63.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -4368.2619, 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: 0.3716, root_relative_squared_error: 0.9929, scimark_benchmark: 1855.5541, total_cost: 672800, usercpu_time_millis: 43.464, usercpu_time_millis_testing: 3.096, usercpu_time_millis_training: 40.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2398.3335, mean_absolute_error: 0.2704, 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: 0.9652, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9751, scimark_benchmark: 1842.1399, total_cost: 672800, usercpu_time_millis: 103.074, usercpu_time_millis_testing: 12.154, usercpu_time_millis_training: 90.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2033.1387, mean_absolute_error: 0.2703, 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: 0.9651, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9737, scimark_benchmark: 1853.3841, total_cost: 672800, usercpu_time_millis: 70.838, usercpu_time_millis_testing: 5.422, usercpu_time_millis_training: 65.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, average_cost: 16.747, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: -1834.9167, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8235, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1842.8726, total_cost: 669010, usercpu_time_millis: 59.066, usercpu_time_millis_testing: 2.949, usercpu_time_millis_training: 56.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, average_cost: 16.5212, f_measure: 0.7621, kappa: 0.029, kb_relative_information_score: -2462.5595, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1848.7762, total_cost: 659990, usercpu_time_millis: 100.621, usercpu_time_millis_testing: 1.823, usercpu_time_millis_training: 98.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.668, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3152.4518, mean_absolute_error: 0.2688, 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: 0.9597, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9762, scimark_benchmark: 1842.7483, total_cost: 672800, usercpu_time_millis: 101.801, usercpu_time_millis_testing: 5.199, usercpu_time_millis_training: 96.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, average_cost: 16.694, f_measure: 0.7582, kappa: 0.013, kb_relative_information_score: -2523.685, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7807, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9664, scimark_benchmark: 1825.1829, total_cost: 666890, usercpu_time_millis: 99.474, usercpu_time_millis_testing: 1.398, usercpu_time_millis_training: 98.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1935.677, mean_absolute_error: 0.2718, 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: 0.9702, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9774, scimark_benchmark: 1836.207, total_cost: 672800, usercpu_time_millis: 61.877, usercpu_time_millis_testing: 4.398, usercpu_time_millis_training: 57.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -4001.5215, mean_absolute_error: 0.2725, 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: 0.9728, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9851, scimark_benchmark: 1855.4813, total_cost: 672800, usercpu_time_millis: 60.001, usercpu_time_millis_testing: 4.454, usercpu_time_millis_training: 55.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 0.54, 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: 1836.1651, total_cost: 672800, usercpu_time_millis: 49.088, usercpu_time_millis_testing: 8.981, usercpu_time_millis_training: 40.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2655.0042, mean_absolute_error: 0.2686, 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: 0.9588, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9727, scimark_benchmark: 1853.454, total_cost: 672800, usercpu_time_millis: 91.273, usercpu_time_millis_testing: 9.543, usercpu_time_millis_training: 81.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3219.7402, mean_absolute_error: 0.2698, 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: 0.9631, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9771, scimark_benchmark: 1845.7835, total_cost: 672800, usercpu_time_millis: 54.83, usercpu_time_millis_testing: 2.977, usercpu_time_millis_training: 51.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, average_cost: 16.5595, f_measure: 0.7614, kappa: 0.0259, kb_relative_information_score: -2479.5085, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8041, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1845.9795, total_cost: 661520, usercpu_time_millis: 52.272, usercpu_time_millis_testing: 1.661, usercpu_time_millis_training: 50.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, average_cost: 16.0136, f_measure: 0.7722, kappa: 0.0718, kb_relative_information_score: -2803.9485, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1854.4951, total_cost: 639710, usercpu_time_millis: 52.774, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 51.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, average_cost: 16.703, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -2459.6217, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1841.1522, total_cost: 667250, usercpu_time_millis: 92.693, usercpu_time_millis_testing: 1.981, usercpu_time_millis_training: 90.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -7.6638, 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: 1843.8187, total_cost: 672800, usercpu_time_millis: 65.893, usercpu_time_millis_testing: 7.492, usercpu_time_millis_training: 58.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, average_cost: 16.7353, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: -1941.6979, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.82, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1855.0232, total_cost: 668540, usercpu_time_millis: 18.15, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 17.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6562, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1320.2901, 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: 0.3702, root_relative_squared_error: 0.9891, scimark_benchmark: 1843.0852, total_cost: 672800, usercpu_time_millis: 86.538, usercpu_time_millis_testing: 6.751, usercpu_time_millis_training: 79.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2229.1572, mean_absolute_error: 0.2751, 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: 0.9821, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9867, scimark_benchmark: 1853.454, total_cost: 672800, usercpu_time_millis: 17.211, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 16.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2943.9844, mean_absolute_error: 0.268, 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: 0.9568, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1825.2596, total_cost: 672800, usercpu_time_millis: 15.585, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 15.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, average_cost: 16.0992, f_measure: 0.7707, kappa: 0.0652, kb_relative_information_score: -2421.2961, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8009, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.922, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, scimark_benchmark: 1847.3406, total_cost: 643130, usercpu_time_millis: 39.159, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 38.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -5.4397, 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: 1825.1897, total_cost: 672800, usercpu_time_millis: 15.143, usercpu_time_millis_testing: 1.933, usercpu_time_millis_training: 13.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, average_cost: 16.6985, f_measure: 0.7584, kappa: 0.0136, kb_relative_information_score: -1819.6502, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8232, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1846.2342, total_cost: 667070, usercpu_time_millis: 52.448, usercpu_time_millis_testing: 3.351, usercpu_time_millis_training: 49.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -30.8803, 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: 1844.7474, total_cost: 672800, usercpu_time_millis: 81.864, usercpu_time_millis_testing: 6.185, usercpu_time_millis_training: 75.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, average_cost: 15.5204, f_measure: 0.7786, kappa: 0.1028, kb_relative_information_score: -4283.9898, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7825, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9776, scimark_benchmark: 1839.9634, total_cost: 620010, usercpu_time_millis: 78.14, usercpu_time_millis_testing: 2.327, usercpu_time_millis_training: 75.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, average_cost: 16.7906, f_measure: 0.7563, kappa: 0.0049, kb_relative_information_score: -1831.5044, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8279, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1853.9121, total_cost: 670750, usercpu_time_millis: 72.029, usercpu_time_millis_testing: 4.732, usercpu_time_millis_training: 67.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2944.2333, mean_absolute_error: 0.2689, 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: 0.9599, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9751, scimark_benchmark: 1843.1261, total_cost: 672800, usercpu_time_millis: 52.395, usercpu_time_millis_testing: 2.677, usercpu_time_millis_training: 49.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -36.7708, 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: 1852.9259, total_cost: 672800, usercpu_time_millis: 52.447, usercpu_time_millis_testing: 4.262, usercpu_time_millis_training: 48.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1683.4299, mean_absolute_error: 0.2748, 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: 0.981, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9846, scimark_benchmark: 1843.7454, total_cost: 672800, usercpu_time_millis: 44.506, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 41.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, average_cost: 16.5838, f_measure: 0.7608, kappa: 0.0236, kb_relative_information_score: -2541.5929, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1848.7762, total_cost: 662490, usercpu_time_millis: 43.648, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 42.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3705.9462, mean_absolute_error: 0.2725, 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: 0.9727, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1848.2024, total_cost: 672800, usercpu_time_millis: 70.946, usercpu_time_millis_testing: 7.36, usercpu_time_millis_training: 63.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -10.7624, 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: 1848.8462, total_cost: 672800, usercpu_time_millis: 58.773, usercpu_time_millis_testing: 7.595, usercpu_time_millis_training: 51.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -24.2793, 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: 1845.3975, total_cost: 672800, usercpu_time_millis: 68.628, usercpu_time_millis_testing: 6.633, usercpu_time_millis_training: 61.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 2.2702, 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: 1855.0989, total_cost: 672800, usercpu_time_millis: 47.679, usercpu_time_millis_testing: 8.539, usercpu_time_millis_training: 39.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, average_cost: 16.7961, f_measure: 0.7561, kappa: 0.0041, kb_relative_information_score: -2688.0384, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7829, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9522, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9701, scimark_benchmark: 1854.1098, total_cost: 670970, usercpu_time_millis: 48.184, usercpu_time_millis_testing: 2.221, usercpu_time_millis_training: 45.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2654.4373, mean_absolute_error: 0.2717, 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: 0.9699, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9788, scimark_benchmark: 1852.9259, total_cost: 672800, usercpu_time_millis: 39.918, usercpu_time_millis_testing: 2.166, usercpu_time_millis_training: 37.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2205.9663, mean_absolute_error: 0.2757, 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: 0.9841, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1846.8212, total_cost: 672800, usercpu_time_millis: 41.934, usercpu_time_millis_testing: 4.258, usercpu_time_millis_training: 37.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, average_cost: 16.4051, f_measure: 0.7645, kappa: 0.0391, kb_relative_information_score: -2757.7208, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7984, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1851.4874, total_cost: 655350, usercpu_time_millis: 44.359, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 43.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1.2929, 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: 1848.388, total_cost: 672800, usercpu_time_millis: 39.325, usercpu_time_millis_testing: 6.82, usercpu_time_millis_training: 32.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2168.4407, mean_absolute_error: 0.2755, 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: 0.9834, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9877, scimark_benchmark: 1851.4233, total_cost: 672800, usercpu_time_millis: 53.819, usercpu_time_millis_testing: 6.59, usercpu_time_millis_training: 47.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1910.0327, mean_absolute_error: 0.2759, 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: 0.985, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9882, scimark_benchmark: 1840.6983, total_cost: 672800, usercpu_time_millis: 21.724, usercpu_time_millis_testing: 1.797, usercpu_time_millis_training: 19.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -11.0544, 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: 1849.5776, total_cost: 672800, usercpu_time_millis: 40.867, usercpu_time_millis_testing: 4.95, usercpu_time_millis_training: 35.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, average_cost: 16.6108, f_measure: 0.7601, kappa: 0.0208, kb_relative_information_score: -2424.3543, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7935, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1845.8368, total_cost: 663570, usercpu_time_millis: 50.476, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 49.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, average_cost: 16.7167, f_measure: 0.7579, kappa: 0.0115, kb_relative_information_score: -2627.2809, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9693, scimark_benchmark: 1844.8764, total_cost: 667800, usercpu_time_millis: 46.23, usercpu_time_millis_testing: 2.143, usercpu_time_millis_training: 44.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, average_cost: 16.6679, f_measure: 0.7591, kappa: 0.0164, kb_relative_information_score: -1900.5939, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8177, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1831.9907, total_cost: 665850, usercpu_time_millis: 13.636, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 13.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -5.9585, 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: 1848.7762, total_cost: 672800, usercpu_time_millis: 63.572, usercpu_time_millis_testing: 7.265, usercpu_time_millis_training: 56.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1986.0057, mean_absolute_error: 0.2713, 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: 0.9686, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9764, scimark_benchmark: 1831.1542, total_cost: 672800, usercpu_time_millis: 16.538, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 15.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, average_cost: 16.7505, f_measure: 0.7571, kappa: 0.0083, kb_relative_information_score: -2644.8147, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7947, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1844.2676, total_cost: 669150, usercpu_time_millis: 55.688, usercpu_time_millis_testing: 2.382, usercpu_time_millis_training: 53.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1.3222, 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: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1844.3569, total_cost: 672800, usercpu_time_millis: 15.001, usercpu_time_millis_testing: 2.122, usercpu_time_millis_training: 12.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1.8543, 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: 1852.4008, total_cost: 672800, usercpu_time_millis: 20.37, usercpu_time_millis_testing: 3.284, usercpu_time_millis_training: 17.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 3.4354, 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: 1846.8866, total_cost: 672800, usercpu_time_millis: 43.517, usercpu_time_millis_testing: 7.576, usercpu_time_millis_training: 35.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1.3592, 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: 1850.3454, total_cost: 672800, usercpu_time_millis: 26.641, usercpu_time_millis_testing: 4.593, usercpu_time_millis_training: 22.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6216, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -2221.1737, mean_absolute_error: 0.276, 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: 0.9851, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.989, scimark_benchmark: 1833.329, total_cost: 672800, usercpu_time_millis: 21.704, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 20.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -11.5959, 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: 1844.6953, total_cost: 672800, usercpu_time_millis: 21.507, usercpu_time_millis_testing: 3.587, usercpu_time_millis_training: 17.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1071.799, mean_absolute_error: 0.2776, 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: 0.9911, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9919, scimark_benchmark: 1850.8706, total_cost: 672800, usercpu_time_millis: 18.341, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 17.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -3251.284, 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: 0.9857, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9906, scimark_benchmark: 1855.1417, total_cost: 672800, usercpu_time_millis: 52.193, usercpu_time_millis_testing: 4.48, usercpu_time_millis_training: 47.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -14.4345, 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: 1849.8294, total_cost: 672800, usercpu_time_millis: 43.733, usercpu_time_millis_testing: 5.551, usercpu_time_millis_training: 38.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1.5425, 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: 1849.3742, total_cost: 672800, usercpu_time_millis: 42.787, usercpu_time_millis_testing: 6.994, usercpu_time_millis_training: 35.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 4.1706, 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: 0.9998, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1855.0232, total_cost: 672800, usercpu_time_millis: 33.81, usercpu_time_millis_testing: 5.906, usercpu_time_millis_training: 27.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, average_cost: 16.6098, f_measure: 0.7603, kappa: 0.0215, kb_relative_information_score: -2102.0485, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8098, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1848.321, total_cost: 663530, usercpu_time_millis: 40.873, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 39.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, average_cost: 16.5971, f_measure: 0.7605, kappa: 0.0222, kb_relative_information_score: -2538.3192, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9446, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1838.3764, total_cost: 663020, usercpu_time_millis: 31.164, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 30.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 0.9837, 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: 1844.3569, total_cost: 672800, usercpu_time_millis: 29.802, usercpu_time_millis_testing: 6.053, usercpu_time_millis_training: 23.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -1.4128, 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: 1851.5764, total_cost: 672800, usercpu_time_millis: 23.607, usercpu_time_millis_testing: 4.052, usercpu_time_millis_training: 19.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, average_cost: 16.2436, f_measure: 0.7678, kappa: 0.0529, kb_relative_information_score: -2958.2603, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1844.2676, total_cost: 648900, usercpu_time_millis: 8.587, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 8.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -0.7657, 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: 1839.7911, total_cost: 672800, usercpu_time_millis: 24.915, usercpu_time_millis_testing: 4.289, usercpu_time_millis_training: 20.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -14.619, 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: 1843.2259, total_cost: 672800, usercpu_time_millis: 20.704, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 17.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: 1.1081, 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: 1845.9795, total_cost: 672800, usercpu_time_millis: 33.111, usercpu_time_millis_testing: 6.716, usercpu_time_millis_training: 26.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, average_cost: 16.8419, f_measure: 0.7551, kb_relative_information_score: -15.0311, 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: 1849.3742, total_cost: 672800, usercpu_time_millis: 3.189, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 2.861,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs