OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.7556, kappa: 0.0021, kb_relative_information_score: -2885.4264, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7907, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9717, scimark_benchmark: 1857.5664, usercpu_time_millis: 165.749, usercpu_time_millis_testing: 11.092, usercpu_time_millis_training: 154.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.7551, kb_relative_information_score: -3304.9385, mean_absolute_error: 0.2691, 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: 0.9606, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1850.8706, usercpu_time_millis: 156.69, usercpu_time_millis_testing: 10.505, usercpu_time_millis_training: 146.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.7551, kb_relative_information_score: -1951.6639, mean_absolute_error: 0.2712, 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: 0.9681, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1792.0754, usercpu_time_millis: 158.4, usercpu_time_millis_testing: 14.103, usercpu_time_millis_training: 144.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7644, kappa: 0.0384, kb_relative_information_score: -2418.6449, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8058, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 2031.3065, usercpu_time_millis: 144.757, usercpu_time_millis_testing: 9.205, usercpu_time_millis_training: 135.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.7551, kb_relative_information_score: -1902.1419, 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: 0.9731, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9793, scimark_benchmark: 1848.2539, usercpu_time_millis: 167.657, usercpu_time_millis_testing: 14.16, usercpu_time_millis_training: 153.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.7551, kb_relative_information_score: -1953.8528, mean_absolute_error: 0.2712, 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: 0.9681, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1814.6055, usercpu_time_millis: 148.434, usercpu_time_millis_testing: 14.263, usercpu_time_millis_training: 134.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7676, kappa: 0.0521, kb_relative_information_score: -2612.2187, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7973, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1835.6055, usercpu_time_millis: 148.005, usercpu_time_millis_testing: 3.436, usercpu_time_millis_training: 144.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7586, kappa: 0.0141, kb_relative_information_score: -2513.4043, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8117, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1848.2615, usercpu_time_millis: 168.325, usercpu_time_millis_testing: 13.967, usercpu_time_millis_training: 154.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.7618, kappa: 0.0275, kb_relative_information_score: -2466.9278, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8108, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9421, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9628, scimark_benchmark: 1842.7288, usercpu_time_millis: 142.339, usercpu_time_millis_testing: 10.896, usercpu_time_millis_training: 131.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7551, kb_relative_information_score: -1964.1221, 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: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1849.3742, usercpu_time_millis: 155.57, usercpu_time_millis_testing: 13.839, usercpu_time_millis_training: 141.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7688, kappa: 0.0572, kb_relative_information_score: -2863.3322, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9633, scimark_benchmark: 1848.2615, usercpu_time_millis: 136.238, usercpu_time_millis_testing: 2.579, usercpu_time_millis_training: 133.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2449.9769, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9687, scimark_benchmark: 1821.736, usercpu_time_millis: 148.862, usercpu_time_millis_testing: 6.932, usercpu_time_millis_training: 141.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2486.5421, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1846.89, usercpu_time_millis: 125.297, usercpu_time_millis_testing: 3.085, usercpu_time_millis_training: 122.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7608, kappa: 0.0236, kb_relative_information_score: -2478.0708, 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: 0.94, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1812.3502, usercpu_time_millis: 120.395, usercpu_time_millis_testing: 5.642, usercpu_time_millis_training: 114.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.7551, kb_relative_information_score: -2938.4393, mean_absolute_error: 0.2685, 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: 0.9584, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1736.1564, usercpu_time_millis: 136.063, usercpu_time_millis_testing: 7.106, usercpu_time_millis_training: 128.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.7551, kb_relative_information_score: -3243.0992, 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: 0.9627, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9769, scimark_benchmark: 1857.1082, usercpu_time_millis: 131.244, usercpu_time_millis_testing: 11.087, usercpu_time_millis_training: 120.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.7551, kb_relative_information_score: -3435.0855, mean_absolute_error: 0.2729, 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: 0.9741, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1779.6859, usercpu_time_millis: 105.444, usercpu_time_millis_testing: 7.829, usercpu_time_millis_training: 97.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2324.8422, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1826.1972, usercpu_time_millis: 116.737, usercpu_time_millis_testing: 6.729, usercpu_time_millis_training: 110.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.7768, kappa: 0.095, kb_relative_information_score: -3742.5239, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7796, predictive_accuracy: 0.8303, prior_entropy: 0.6541, recall: 0.8303, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9735, scimark_benchmark: 1848.7762, usercpu_time_millis: 117.137, usercpu_time_millis_testing: 3.774, usercpu_time_millis_training: 113.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.7767, kappa: 0.093, kb_relative_information_score: -4076.2846, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7852, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.973, scimark_benchmark: 1853.454, usercpu_time_millis: 120.473, usercpu_time_millis_testing: 1.446, usercpu_time_millis_training: 119.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7711, kappa: 0.0668, kb_relative_information_score: -3860.5917, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1790.2842, usercpu_time_millis: 82.446, usercpu_time_millis_testing: 3.615, usercpu_time_millis_training: 78.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.7551, kb_relative_information_score: -1937.9204, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.977, scimark_benchmark: 1853.454, usercpu_time_millis: 96.972, usercpu_time_millis_testing: 9.546, usercpu_time_millis_training: 87.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -24.1961, 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: 784.7297, usercpu_time_millis: 94.323, usercpu_time_millis_testing: 8.722, usercpu_time_millis_training: 85.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.7551, kb_relative_information_score: -3158.5303, 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: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1845.9141, usercpu_time_millis: 124.735, usercpu_time_millis_testing: 9.219, usercpu_time_millis_training: 115.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7588, kappa: 0.015, kb_relative_information_score: -1799.5319, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.829, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1854.0399, usercpu_time_millis: 71.555, usercpu_time_millis_testing: 4.454, usercpu_time_millis_training: 67.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7551, kb_relative_information_score: -2358.5011, mean_absolute_error: 0.2666, 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: 0.9519, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9688, scimark_benchmark: 1848.8462, usercpu_time_millis: 94.052, usercpu_time_millis_testing: 4.625, usercpu_time_millis_training: 89.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.7551, kb_relative_information_score: -3434.6096, mean_absolute_error: 0.2729, 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: 0.9742, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1776.6746, usercpu_time_millis: 92.169, usercpu_time_millis_testing: 6.717, usercpu_time_millis_training: 85.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.7612, kappa: 0.0249, kb_relative_information_score: -2649.0422, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8056, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1828.9873, usercpu_time_millis: 77.122, usercpu_time_millis_testing: 5.218, usercpu_time_millis_training: 71.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7751, kappa: 0.0847, kb_relative_information_score: -3794.6033, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7933, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1821.9404, usercpu_time_millis: 73.622, usercpu_time_millis_testing: 2.733, usercpu_time_millis_training: 70.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6204, f_measure: 0.7551, kb_relative_information_score: -2237.637, 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: 0.9858, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897, scimark_benchmark: 1848.321, usercpu_time_millis: 70.982, usercpu_time_millis_testing: 6.476, usercpu_time_millis_training: 64.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6302, f_measure: 0.7551, kb_relative_information_score: -2186.9424, 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: 0.9882, scimark_benchmark: 1856.125, usercpu_time_millis: 69.372, usercpu_time_millis_testing: 7.114, usercpu_time_millis_training: 62.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -2482.6057, mean_absolute_error: 0.2631, 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: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1779.9164, usercpu_time_millis: 87.242, usercpu_time_millis_testing: 2.169, usercpu_time_millis_training: 85.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, f_measure: 0.7551, kb_relative_information_score: -2164.4761, 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: 0.9837, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9877, scimark_benchmark: 1852.3367, usercpu_time_millis: 94.422, usercpu_time_millis_testing: 10.112, usercpu_time_millis_training: 84.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.7551, kb_relative_information_score: -1328.7478, mean_absolute_error: 0.2765, 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: 0.9872, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.9891, scimark_benchmark: 1820.9468, usercpu_time_millis: 82.787, usercpu_time_millis_testing: 10.79, usercpu_time_millis_training: 71.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.7551, kb_relative_information_score: -2142.1706, 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: 0.9861, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897, scimark_benchmark: 1857.5664, usercpu_time_millis: 59.272, usercpu_time_millis_testing: 5.422, usercpu_time_millis_training: 53.85,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7551, kb_relative_information_score: -2388.7268, mean_absolute_error: 0.2675, 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: 0.9548, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1842.1882, usercpu_time_millis: 17.433, usercpu_time_millis_testing: 0.777, usercpu_time_millis_training: 16.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.765, kappa: 0.041, kb_relative_information_score: -2681.3622, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1834.7077, usercpu_time_millis: 18.468, usercpu_time_millis_testing: 0.723, usercpu_time_millis_training: 17.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7658, kappa: 0.0443, kb_relative_information_score: -2424.996, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1850.2875, usercpu_time_millis: 44.221, usercpu_time_millis_testing: 1.388, usercpu_time_millis_training: 42.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7551, kb_relative_information_score: -1984.4974, mean_absolute_error: 0.2702, 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: 0.9647, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9738, scimark_benchmark: 1685.9341, usercpu_time_millis: 55.017, usercpu_time_millis_testing: 2.586, usercpu_time_millis_training: 52.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 0.2733, 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: 1829.1442, usercpu_time_millis: 28.419, usercpu_time_millis_testing: 4.887, usercpu_time_millis_training: 23.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.7551, kb_relative_information_score: -622.4091, mean_absolute_error: 0.2786, 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: 0.9944, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9949, scimark_benchmark: 1852.9259, usercpu_time_millis: 57.19, usercpu_time_millis_testing: 7.771, usercpu_time_millis_training: 49.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.7551, kb_relative_information_score: -3097.724, mean_absolute_error: 0.2729, 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: 0.9742, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9824, scimark_benchmark: 1841.1596, usercpu_time_millis: 39.633, usercpu_time_millis_testing: 1.881, usercpu_time_millis_training: 37.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -5.6042, 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: 789.6492, usercpu_time_millis: 25.86, usercpu_time_millis_testing: 3.457, usercpu_time_millis_training: 22.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: 0.4251, 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: 1828.7438, usercpu_time_millis: 36.046, usercpu_time_millis_testing: 7.503, usercpu_time_millis_training: 28.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7653, kappa: 0.0422, kb_relative_information_score: -2685.2095, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8045, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1788.3828, usercpu_time_millis: 10.176, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 9.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -6.896, 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: 1846.9558, usercpu_time_millis: 46.637, usercpu_time_millis_testing: 7.881, usercpu_time_millis_training: 38.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.778, kappa: 0.1073, kb_relative_information_score: -5497.5336, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7692, predictive_accuracy: 0.8232, prior_entropy: 0.6541, recall: 0.8232, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0042, scimark_benchmark: 1832.6707, usercpu_time_millis: 13.836, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 13.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -7.3117, 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: 1812.2788, usercpu_time_millis: 17.507, usercpu_time_millis_testing: 2.69, usercpu_time_millis_training: 14.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -7.5304, 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: 1885.5791, usercpu_time_millis: 7.352, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 6.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.7577, kappa: 0.0109, kb_relative_information_score: -2450.4249, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7789, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1846.6923, usercpu_time_millis: 30.251, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 29.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.7551, kb_relative_information_score: -2088.3372, mean_absolute_error: 0.2744, 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: 0.9795, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9841, scimark_benchmark: 1842.598, usercpu_time_millis: 16.559, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 15.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7551, kb_relative_information_score: -1978.3266, mean_absolute_error: 0.2749, 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: 0.9813, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9852, scimark_benchmark: 1852.6205, usercpu_time_millis: 23.317, usercpu_time_millis_testing: 1.515, usercpu_time_millis_training: 21.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.7551, kb_relative_information_score: -3414.9529, mean_absolute_error: 0.2729, 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: 0.9743, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1840.3077, usercpu_time_millis: 11.153, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 10.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7582, kappa: 0.0127, kb_relative_information_score: -2500.3499, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7865, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1852.9259, usercpu_time_millis: 44.424, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 43.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: -2433.0812, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8045, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1858.0974, usercpu_time_millis: 12.717, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 12.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 2.1175, 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: 1852.0126, usercpu_time_millis: 40.311, usercpu_time_millis_testing: 7.274, usercpu_time_millis_training: 33.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.7731, kappa: 0.084, kb_relative_information_score: -4658.6104, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7628, predictive_accuracy: 0.8225, prior_entropy: 0.6541, recall: 0.8225, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.999, scimark_benchmark: 1848.321, usercpu_time_millis: 3.417, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 3.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 1.6271, 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: 1830.9008, usercpu_time_millis: 31.795, usercpu_time_millis_testing: 5.517, usercpu_time_millis_training: 26.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -15.6193, 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: 790.2522, usercpu_time_millis: 9.02, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 7.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -7.3563, 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: 1843.2914, usercpu_time_millis: 19.029, usercpu_time_millis_testing: 3.192, usercpu_time_millis_training: 15.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7551, kb_relative_information_score: -35.6092, 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: 1850.2875, usercpu_time_millis: 3.053, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 2.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -46.8713, 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: 1841.2265, usercpu_time_millis: 8.629, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 7.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.7584, kappa: 0.0137, kb_relative_information_score: -2523.7211, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7858, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1852.9259, usercpu_time_millis: 9.011, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 8.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -10.1523, 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: 1849.2344, usercpu_time_millis: 5.763, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 5.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.7597, kappa: 0.0189, kb_relative_information_score: -2697.1013, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.806, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9467, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1829.8205, usercpu_time_millis: 18.055, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 17.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6778, f_measure: 0.7732, kappa: 0.0765, kb_relative_information_score: -4407.887, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7919, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1812.6522, usercpu_time_millis: 29.025, usercpu_time_millis_testing: 1.042, usercpu_time_millis_training: 27.983,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs