OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

21169 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: 0.6913, f_measure: 0.76, kappa: 0.0201, kb_relative_information_score: -2530.8911, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7861, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1721.3486, usercpu_time_millis: 174.48, usercpu_time_millis_testing: 2.152, usercpu_time_millis_training: 172.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7551, kb_relative_information_score: -1975.1165, mean_absolute_error: 0.271, 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: 0.9673, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9755, scimark_benchmark: 1837.1638, usercpu_time_millis: 102.736, usercpu_time_millis_testing: 6.845, usercpu_time_millis_training: 95.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.7551, kb_relative_information_score: -1834.945, 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: 0.9844, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9877, scimark_benchmark: 1803.582, usercpu_time_millis: 66.547, usercpu_time_millis_testing: 6.352, usercpu_time_millis_training: 60.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.7551, kb_relative_information_score: -3549.1892, mean_absolute_error: 0.2714, 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: 0.9688, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9808, scimark_benchmark: 1845.9795, usercpu_time_millis: 109.004, usercpu_time_millis_testing: 8.159, usercpu_time_millis_training: 100.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.7551, kb_relative_information_score: -1937.364, 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: 1848.7762, usercpu_time_millis: 138.919, usercpu_time_millis_testing: 10.856, usercpu_time_millis_training: 128.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.7551, kb_relative_information_score: -1695.5607, 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: 0.9856, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9884, scimark_benchmark: 1853.3841, usercpu_time_millis: 64.984, usercpu_time_millis_testing: 8.065, usercpu_time_millis_training: 56.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.7551, kb_relative_information_score: -2652.64, 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: 0.9611, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9739, scimark_benchmark: 1849.7595, usercpu_time_millis: 127.959, usercpu_time_millis_testing: 13.613, usercpu_time_millis_training: 114.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7551, kb_relative_information_score: -1963.3905, 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: 0.3639, root_relative_squared_error: 0.9724, scimark_benchmark: 1855.4813, usercpu_time_millis: 103.467, usercpu_time_millis_testing: 7.526, usercpu_time_millis_training: 95.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.7551, kb_relative_information_score: -3131.2883, 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: 0.9614, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1847.3406, usercpu_time_millis: 140.608, usercpu_time_millis_testing: 10.666, usercpu_time_millis_training: 129.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7619, kappa: 0.028, kb_relative_information_score: -2085.8461, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8152, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1853.9121, usercpu_time_millis: 96.545, usercpu_time_millis_testing: 2.912, usercpu_time_millis_training: 93.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.7551, kb_relative_information_score: -4030.8576, mean_absolute_error: 0.2724, 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: 0.9725, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9852, scimark_benchmark: 1852.4008, usercpu_time_millis: 109.442, usercpu_time_millis_testing: 8.217, usercpu_time_millis_training: 101.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.7551, kb_relative_information_score: -1967.7554, mean_absolute_error: 0.2697, 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: 0.9629, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9729, scimark_benchmark: 1839.272, usercpu_time_millis: 123.084, usercpu_time_millis_testing: 9.858, usercpu_time_millis_training: 113.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7673, kappa: 0.0506, kb_relative_information_score: -2941.268, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8006, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9601, scimark_benchmark: 1845.3295, usercpu_time_millis: 122.474, usercpu_time_millis_testing: 8.902, usercpu_time_millis_training: 113.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7551, kb_relative_information_score: -2665.568, mean_absolute_error: 0.2711, 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: 0.9678, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9777, scimark_benchmark: 1850.5803, usercpu_time_millis: 106.675, usercpu_time_millis_testing: 7.226, usercpu_time_millis_training: 99.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7581, kappa: 0.0123, kb_relative_information_score: -2457.5716, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7898, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1839.2581, usercpu_time_millis: 124.26, usercpu_time_millis_testing: 2.753, usercpu_time_millis_training: 121.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -11.7841, 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: 1848.3343, usercpu_time_millis: 49.632, usercpu_time_millis_testing: 8.212, usercpu_time_millis_training: 41.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.7552, kappa: 0.0001, kb_relative_information_score: -3042.629, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.958, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1852.9259, usercpu_time_millis: 112.763, usercpu_time_millis_testing: 6.261, usercpu_time_millis_training: 106.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -1831.9714, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8229, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1841.6688, usercpu_time_millis: 110.133, usercpu_time_millis_testing: 7.659, usercpu_time_millis_training: 102.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7551, kb_relative_information_score: -2425.3725, 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: 0.9649, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9752, scimark_benchmark: 1848.8462, usercpu_time_millis: 117.268, usercpu_time_millis_testing: 10.546, usercpu_time_millis_training: 106.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.7551, kb_relative_information_score: -2026.2979, 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: 0.9838, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9873, scimark_benchmark: 1846.7439, usercpu_time_millis: 119.982, usercpu_time_millis_testing: 10.05, usercpu_time_millis_training: 109.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.7551, kb_relative_information_score: -4083.8308, 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: 0.3692, root_relative_squared_error: 0.9865, scimark_benchmark: 1735.0409, usercpu_time_millis: 95.496, usercpu_time_millis_testing: 5.261, usercpu_time_millis_training: 90.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, f_measure: 0.7551, kb_relative_information_score: -3939.1263, 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: 0.973, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9848, scimark_benchmark: 1851.9456, usercpu_time_millis: 84.469, usercpu_time_millis_testing: 4.592, usercpu_time_millis_training: 79.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.7551, kb_relative_information_score: -3712.7352, 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: 0.3681, root_relative_squared_error: 0.9836, scimark_benchmark: 1838.0772, usercpu_time_millis: 106.543, usercpu_time_millis_testing: 6.608, usercpu_time_millis_training: 99.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.7551, kb_relative_information_score: -2466.1279, 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: 0.9855, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897, scimark_benchmark: 1844.677, usercpu_time_millis: 104.796, usercpu_time_millis_testing: 7.915, usercpu_time_millis_training: 96.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.7551, kb_relative_information_score: -2261.2644, mean_absolute_error: 0.2736, 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: 0.9768, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9825, scimark_benchmark: 1730.6397, usercpu_time_millis: 92.578, usercpu_time_millis_testing: 9.249, usercpu_time_millis_training: 83.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.7551, kb_relative_information_score: -3711.0943, 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: 0.9726, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9837, scimark_benchmark: 1793.8406, usercpu_time_millis: 37.475, usercpu_time_millis_testing: 2.254, usercpu_time_millis_training: 35.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7555, kappa: 0.0014, kb_relative_information_score: -2479.5781, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7523, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1847.155, usercpu_time_millis: 87.207, usercpu_time_millis_testing: 1.997, usercpu_time_millis_training: 85.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7551, kb_relative_information_score: -2004.2529, 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: 0.9604, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9709, scimark_benchmark: 1816.0931, usercpu_time_millis: 36.712, usercpu_time_millis_testing: 3.059, usercpu_time_millis_training: 33.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.7551, kb_relative_information_score: -2666.3435, mean_absolute_error: 0.266, 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: 0.9495, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9707, scimark_benchmark: 1845.181, usercpu_time_millis: 118.998, usercpu_time_millis_testing: 3.832, usercpu_time_millis_training: 115.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.7551, kb_relative_information_score: -1527.9667, 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: 0.9844, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9871, scimark_benchmark: 1847.3406, usercpu_time_millis: 86.036, usercpu_time_millis_testing: 9.202, usercpu_time_millis_training: 76.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7551, kb_relative_information_score: -1892.2, mean_absolute_error: 0.2724, 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: 0.9723, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9787, scimark_benchmark: 1801.4848, usercpu_time_millis: 28.49, usercpu_time_millis_testing: 1.941, usercpu_time_millis_training: 26.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -28.4298, 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: 1835.7111, usercpu_time_millis: 100.974, usercpu_time_millis_testing: 6.487, usercpu_time_millis_training: 94.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.7551, kb_relative_information_score: -2658.8313, mean_absolute_error: 0.271, 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: 0.9673, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9775, scimark_benchmark: 1849.6963, usercpu_time_millis: 115.299, usercpu_time_millis_testing: 8.158, usercpu_time_millis_training: 107.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.7551, kb_relative_information_score: -1849.1206, 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: 0.3696, root_relative_squared_error: 0.9877, scimark_benchmark: 1846.8309, usercpu_time_millis: 90.706, usercpu_time_millis_testing: 8.957, usercpu_time_millis_training: 81.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7583, kappa: 0.0131, kb_relative_information_score: -2439.5364, mean_absolute_error: 0.2632, 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: 0.9396, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1841.2265, usercpu_time_millis: 108.281, usercpu_time_millis_testing: 3.423, usercpu_time_millis_training: 104.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.77, kappa: 0.0625, kb_relative_information_score: -2994.3828, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7959, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1854.4951, usercpu_time_millis: 64.612, usercpu_time_millis_testing: 0.93, usercpu_time_millis_training: 63.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -1764.0753, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8236, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1843.8403, usercpu_time_millis: 77.426, usercpu_time_millis_testing: 3.96, usercpu_time_millis_training: 73.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.7716, kappa: 0.0691, kb_relative_information_score: -2909.1083, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8028, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9612, scimark_benchmark: 1845.264, usercpu_time_millis: 90.957, usercpu_time_millis_testing: 4.562, usercpu_time_millis_training: 86.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7551, kb_relative_information_score: -1892.8416, 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: 0.3664, root_relative_squared_error: 0.9791, scimark_benchmark: 1842.1399, usercpu_time_millis: 49.345, usercpu_time_millis_testing: 4.172, usercpu_time_millis_training: 45.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.7551, kb_relative_information_score: -1947.8184, 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: 0.9854, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9885, scimark_benchmark: 1852.4707, usercpu_time_millis: 74.474, usercpu_time_millis_testing: 7.13, usercpu_time_millis_training: 67.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 0.7196, 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: 1852.704, usercpu_time_millis: 38.664, usercpu_time_millis_testing: 6.554, usercpu_time_millis_training: 32.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.759, kappa: 0.0161, kb_relative_information_score: -2621.2343, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9691, scimark_benchmark: 1853.9121, usercpu_time_millis: 36.276, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 34.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.7551, kb_relative_information_score: -1953.9823, 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: 0.9704, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9775, scimark_benchmark: 1847.8629, usercpu_time_millis: 51.653, usercpu_time_millis_testing: 5.037, usercpu_time_millis_training: 46.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.7556, kappa: 0.002, kb_relative_information_score: -1829.3956, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8083, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1845.7835, usercpu_time_millis: 83.271, usercpu_time_millis_testing: 4.739, usercpu_time_millis_training: 78.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.7597, kappa: 0.019, kb_relative_information_score: -2463.8566, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8003, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, 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: 1838.622, usercpu_time_millis: 73.663, usercpu_time_millis_testing: 1.983, usercpu_time_millis_training: 71.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.7551, kb_relative_information_score: -2188.4342, 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: 0.9836, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9879, scimark_benchmark: 1846.3057, usercpu_time_millis: 84.781, usercpu_time_millis_testing: 9.157, usercpu_time_millis_training: 75.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.7561, kappa: 0.004, kb_relative_information_score: -2955.0803, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7918, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9724, scimark_benchmark: 1845.7835, usercpu_time_millis: 68.555, usercpu_time_millis_testing: 5.363, usercpu_time_millis_training: 63.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -4.9974, 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: 1844.2676, usercpu_time_millis: 68.612, usercpu_time_millis_testing: 8.746, usercpu_time_millis_training: 59.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.775, kappa: 0.0843, kb_relative_information_score: -4330.9821, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1846.362, usercpu_time_millis: 90.688, usercpu_time_millis_testing: 2.362, usercpu_time_millis_training: 88.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.7573, kappa: 0.0088, kb_relative_information_score: -3146.5356, mean_absolute_error: 0.268, 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: 0.9568, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9746, scimark_benchmark: 1832.2404, usercpu_time_millis: 83.091, usercpu_time_millis_testing: 5.965, usercpu_time_millis_training: 77.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 3.273, 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: 1742.7247, usercpu_time_millis: 46.219, usercpu_time_millis_testing: 7.984, usercpu_time_millis_training: 38.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -32.6418, 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: 1853.9121, usercpu_time_millis: 36.335, usercpu_time_millis_testing: 3.101, usercpu_time_millis_training: 33.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.7551, kb_relative_information_score: -3043.5089, mean_absolute_error: 0.2687, 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: 0.9594, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9755, scimark_benchmark: 1849.8662, usercpu_time_millis: 42.966, usercpu_time_millis_testing: 1.846, usercpu_time_millis_training: 41.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.7778, kappa: 0.1003, kb_relative_information_score: -4880.1437, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7786, predictive_accuracy: 0.8296, prior_entropy: 0.6541, recall: 0.8296, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1858.1494, usercpu_time_millis: 78.759, usercpu_time_millis_testing: 1.311, usercpu_time_millis_training: 77.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7576, kappa: 0.0102, kb_relative_information_score: -1885.4196, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8125, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9536, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1851.4874, usercpu_time_millis: 18.82, usercpu_time_millis_testing: 1.017, usercpu_time_millis_training: 17.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.756, kappa: 0.0035, kb_relative_information_score: -3058.9655, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8041, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9737, scimark_benchmark: 1847.8629, usercpu_time_millis: 55.615, usercpu_time_millis_testing: 2.171, usercpu_time_millis_training: 53.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.7551, kb_relative_information_score: -2392.7574, 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: 0.9567, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1838.8296, usercpu_time_millis: 35.773, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 34.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.7551, kb_relative_information_score: -2574.2518, mean_absolute_error: 0.2676, 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: 0.9551, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9713, scimark_benchmark: 1846.6923, usercpu_time_millis: 21.958, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 21.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -5.2207, 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: 1851.4874, usercpu_time_millis: 59.136, usercpu_time_millis_testing: 6.984, usercpu_time_millis_training: 52.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -18.2965, 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: 1835.621, usercpu_time_millis: 59.123, usercpu_time_millis_testing: 5.604, usercpu_time_millis_training: 53.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.7551, kb_relative_information_score: -2945.4735, 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: 0.9595, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1847.8629, usercpu_time_millis: 47.484, usercpu_time_millis_testing: 2.133, usercpu_time_millis_training: 45.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7551, kb_relative_information_score: -1985.7203, 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: 0.3636, root_relative_squared_error: 0.9714, scimark_benchmark: 1850.3885, usercpu_time_millis: 50.394, usercpu_time_millis_testing: 4.459, usercpu_time_millis_training: 45.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.7551, kb_relative_information_score: -2414.355, mean_absolute_error: 0.2701, 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: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9749, scimark_benchmark: 1836.6415, usercpu_time_millis: 57.115, usercpu_time_millis_testing: 3.655, usercpu_time_millis_training: 53.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.7551, kb_relative_information_score: -2492.8834, mean_absolute_error: 0.2665, 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: 0.9515, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1847.8629, usercpu_time_millis: 52.175, usercpu_time_millis_testing: 1.872, usercpu_time_millis_training: 50.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7615, kappa: 0.0264, kb_relative_information_score: -2959.749, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7966, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1853.3841, usercpu_time_millis: 12.336, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 12.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -33.1439, 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: 1834.6378, usercpu_time_millis: 31.741, usercpu_time_millis_testing: 2.333, usercpu_time_millis_training: 29.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.7551, kb_relative_information_score: -2277.7158, 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: 0.3697, root_relative_squared_error: 0.9877, scimark_benchmark: 1849.7595, usercpu_time_millis: 13.05, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 12.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -16.9971, 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: 1851.3018, usercpu_time_millis: 51.647, usercpu_time_millis_testing: 6.081, usercpu_time_millis_training: 45.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.7579, kappa: 0.0115, kb_relative_information_score: -2505.8795, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7898, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1853.3841, usercpu_time_millis: 9.026, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 8.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.7551, kb_relative_information_score: -1886.93, 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: 0.9735, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.9796, scimark_benchmark: 1761.4773, usercpu_time_millis: 35.102, usercpu_time_millis_testing: 2.176, usercpu_time_millis_training: 32.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7551, kb_relative_information_score: -2358.2779, 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: 0.9701, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.366, root_relative_squared_error: 0.978, scimark_benchmark: 1852.0126, usercpu_time_millis: 38.467, usercpu_time_millis_testing: 2.54, usercpu_time_millis_training: 35.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, f_measure: 0.7551, kb_relative_information_score: -1405.3082, 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: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1854.9533, usercpu_time_millis: 22.959, usercpu_time_millis_testing: 2.393, usercpu_time_millis_training: 20.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.7586, kappa: 0.0144, kb_relative_information_score: -2689.2165, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7902, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9701, scimark_benchmark: 1840.7617, usercpu_time_millis: 8.321, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 8.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.7551, kb_relative_information_score: -3375.7377, mean_absolute_error: 0.2724, 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: 0.9724, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1846.4335, usercpu_time_millis: 25.471, usercpu_time_millis_testing: 2.445, usercpu_time_millis_training: 23.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7594, kappa: 0.0178, kb_relative_information_score: -1798.0194, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8251, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9653, scimark_benchmark: 1853.3841, usercpu_time_millis: 32.077, usercpu_time_millis_testing: 1.646, usercpu_time_millis_training: 30.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7598, kappa: 0.0195, kb_relative_information_score: -2655.6904, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7882, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1843.903, usercpu_time_millis: 8.024, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 7.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7606, kappa: 0.0229, kb_relative_information_score: -2579.5554, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7788, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1855.4813, usercpu_time_millis: 15.802, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 15.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.7551, kb_relative_information_score: -1534.0942, 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: 0.9863, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9887, scimark_benchmark: 1843.7454, usercpu_time_millis: 13.805, usercpu_time_millis_testing: 0.978, usercpu_time_millis_training: 12.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -9.9054, 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: 1847.8629, usercpu_time_millis: 28.032, usercpu_time_millis_testing: 2.717, usercpu_time_millis_training: 25.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -15.9464, 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: 1856.5802, usercpu_time_millis: 26.655, usercpu_time_millis_testing: 2.916, usercpu_time_millis_training: 23.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.7551, kb_relative_information_score: -3158.0524, mean_absolute_error: 0.2723, 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: 0.972, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9812, scimark_benchmark: 1827.1867, usercpu_time_millis: 3.758, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 3.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -57.1581, 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: 1849.9572, usercpu_time_millis: 7.249, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 6.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.7551, kb_relative_information_score: -2318.3428, 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: 0.9855, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9893, scimark_benchmark: 1846.3057, usercpu_time_millis: 9.893, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 9.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.7555, kappa: 0.0016, kb_relative_information_score: -3180.9812, mean_absolute_error: 0.2679, 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: 0.9564, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9753, scimark_benchmark: 1848.5009, usercpu_time_millis: 22.847, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 22.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -8.6253, 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: 1841.6688, usercpu_time_millis: 9.909, usercpu_time_millis_testing: 1.224, usercpu_time_millis_training: 8.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -82.5078, 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: 1.0005, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1847.3406, usercpu_time_millis: 4.389, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 3.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.7551, kb_relative_information_score: -2323.1028, mean_absolute_error: 0.2732, 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: 0.9754, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1847.8629, usercpu_time_millis: 2.148, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 2.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -5.4967, 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: 1852.0126, usercpu_time_millis: 10.082, usercpu_time_millis_testing: 1.243, usercpu_time_millis_training: 8.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -14.8033, 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: 1859.1356, usercpu_time_millis: 3.92, usercpu_time_millis_testing: 0.44, usercpu_time_millis_training: 3.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7597, kappa: 0.0189, kb_relative_information_score: -2580.2511, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.778, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1743.2701, usercpu_time_millis: 951.891, usercpu_time_millis_testing: 18.702, usercpu_time_millis_training: 933.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7696, kappa: 0.0606, kb_relative_information_score: -2324.5243, mean_absolute_error: 0.2599, 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: 0.9278, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9618, scimark_benchmark: 1806.8261, usercpu_time_millis: 831.039, usercpu_time_millis_testing: 13.16, usercpu_time_millis_training: 817.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7687, kappa: 0.0568, kb_relative_information_score: -2364.7386, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7941, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1814.379, usercpu_time_millis: 856.067, usercpu_time_millis_testing: 10.996, usercpu_time_millis_training: 845.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7591, kappa: 0.0163, kb_relative_information_score: -2541.7177, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7836, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1857.1082, usercpu_time_millis: 680.324, usercpu_time_millis_testing: 16.42, usercpu_time_millis_training: 663.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.77, kappa: 0.0622, kb_relative_information_score: -2346.0028, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1852.4008, usercpu_time_millis: 630.664, usercpu_time_millis_testing: 9.934, usercpu_time_millis_training: 620.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.769, kappa: 0.0581, kb_relative_information_score: -2290.0546, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7963, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1852.9259, usercpu_time_millis: 614.024, usercpu_time_millis_testing: 8.972, usercpu_time_millis_training: 605.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7589, kappa: 0.0156, kb_relative_information_score: -2487.075, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7959, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1816.6404, usercpu_time_millis: 593.589, usercpu_time_millis_testing: 18.142, usercpu_time_millis_training: 575.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7597, kappa: 0.0189, kb_relative_information_score: -2476.806, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7955, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1852.1495, usercpu_time_millis: 523.541, usercpu_time_millis_testing: 16.6, usercpu_time_millis_training: 506.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -2504.7563, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7857, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1845.3208, usercpu_time_millis: 527.432, usercpu_time_millis_testing: 11.196, usercpu_time_millis_training: 516.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7575, kappa: 0.01, kb_relative_information_score: -2450.5851, mean_absolute_error: 0.2639, 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: 0.9421, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1814.0421, usercpu_time_millis: 444.533, usercpu_time_millis_testing: 16.091, usercpu_time_millis_training: 428.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7587, kappa: 0.0147, kb_relative_information_score: -2579.5956, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7785, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1827.287, usercpu_time_millis: 481.166, usercpu_time_millis_testing: 9.384, usercpu_time_millis_training: 471.782,

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