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: 0.6647, f_measure: 0.7551, kb_relative_information_score: -2214.4878, mean_absolute_error: 0.2741, 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: 0.9785, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9834, scimark_benchmark: 1828.6161, usercpu_time_millis: 72.629, usercpu_time_millis_testing: 5.953, usercpu_time_millis_training: 66.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7551, kb_relative_information_score: -1976.8881, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.973, scimark_benchmark: 1839.0605, usercpu_time_millis: 98.256, usercpu_time_millis_testing: 6.192, usercpu_time_millis_training: 92.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3306.6606, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9781, scimark_benchmark: 1857.7641, usercpu_time_millis: 120.078, usercpu_time_millis_testing: 4.546, usercpu_time_millis_training: 115.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.7551, kb_relative_information_score: -4063.8168, 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: 0.9734, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9858, scimark_benchmark: 1853.3841, usercpu_time_millis: 117.471, usercpu_time_millis_testing: 6.956, usercpu_time_millis_training: 110.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.7551, kb_relative_information_score: -3532.3586, mean_absolute_error: 0.2721, 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: 0.9713, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9821, scimark_benchmark: 1853.9121, usercpu_time_millis: 115.851, usercpu_time_millis_testing: 9.283, usercpu_time_millis_training: 106.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7551, kb_relative_information_score: -1983.0504, 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: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9739, scimark_benchmark: 1828.686, usercpu_time_millis: 114.795, usercpu_time_millis_testing: 7.823, usercpu_time_millis_training: 106.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -2488.7808, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9419, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1853.9121, usercpu_time_millis: 113.455, usercpu_time_millis_testing: 2.9, usercpu_time_millis_training: 110.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.7551, kb_relative_information_score: -1404.2966, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9896, scimark_benchmark: 1808.0708, usercpu_time_millis: 99.211, usercpu_time_millis_testing: 9.749, usercpu_time_millis_training: 89.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.7551, kb_relative_information_score: -2648.7486, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9764, scimark_benchmark: 1834.3608, usercpu_time_millis: 61.517, usercpu_time_millis_testing: 3.131, usercpu_time_millis_training: 58.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7551, kb_relative_information_score: -2748.2551, mean_absolute_error: 0.2674, 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: 0.9547, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1853.9121, usercpu_time_millis: 91.032, usercpu_time_millis_testing: 5.101, usercpu_time_millis_training: 85.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.7551, kappa: -0.0002, kb_relative_information_score: -2606.2745, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9699, scimark_benchmark: 1843.1261, usercpu_time_millis: 59.926, usercpu_time_millis_testing: 2.174, usercpu_time_millis_training: 57.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6195, f_measure: 0.7551, kb_relative_information_score: -2348.0545, 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: 0.9853, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9894, scimark_benchmark: 1855.4813, usercpu_time_millis: 126.701, usercpu_time_millis_testing: 10.253, usercpu_time_millis_training: 116.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.7598, kappa: 0.0194, kb_relative_information_score: -2473.2434, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.787, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1842.3188, usercpu_time_millis: 97.837, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 96.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.7551, kb_relative_information_score: -4078.5992, 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: 0.3692, root_relative_squared_error: 0.9865, scimark_benchmark: 1850.0491, usercpu_time_millis: 83.69, usercpu_time_millis_testing: 4.719, usercpu_time_millis_training: 78.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7573, kappa: 0.0091, kb_relative_information_score: -2349.0546, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1857.5664, usercpu_time_millis: 84.337, usercpu_time_millis_testing: 2.382, usercpu_time_millis_training: 81.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7551, kb_relative_information_score: -2164.6112, mean_absolute_error: 0.274, 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: 0.9782, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1854.4951, usercpu_time_millis: 80.106, usercpu_time_millis_testing: 10.753, usercpu_time_millis_training: 69.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7571, kappa: 0.0083, kb_relative_information_score: -1828.861, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8211, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1729.0086, usercpu_time_millis: 94.448, usercpu_time_millis_testing: 6.307, usercpu_time_millis_training: 88.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.7551, kb_relative_information_score: -2291.7156, mean_absolute_error: 0.2722, 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: 0.9718, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9793, scimark_benchmark: 1858.0974, usercpu_time_millis: 116.708, usercpu_time_millis_testing: 9.496, usercpu_time_millis_training: 107.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.7551, kb_relative_information_score: -2329.4129, mean_absolute_error: 0.2722, 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: 0.9717, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.9792, scimark_benchmark: 1856.1949, usercpu_time_millis: 68.122, usercpu_time_millis_testing: 6.267, usercpu_time_millis_training: 61.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7719, kappa: 0.0706, kb_relative_information_score: -2810.885, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.801, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9621, scimark_benchmark: 1848.2615, usercpu_time_millis: 89.758, usercpu_time_millis_testing: 1.741, usercpu_time_millis_training: 88.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.7551, kb_relative_information_score: -2961.3532, 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: 0.3678, root_relative_squared_error: 0.9828, scimark_benchmark: 1857.184, usercpu_time_millis: 114.639, usercpu_time_millis_testing: 9.5, usercpu_time_millis_training: 105.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7654, kappa: 0.0428, kb_relative_information_score: -2340.3786, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8086, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1853.9121, usercpu_time_millis: 64.351, usercpu_time_millis_testing: 3.107, usercpu_time_millis_training: 61.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7594, kappa: 0.0177, kb_relative_information_score: -2541.2872, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7931, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1853.454, usercpu_time_millis: 105.536, usercpu_time_millis_testing: 2.426, usercpu_time_millis_training: 103.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.7551, kb_relative_information_score: -3642.0333, 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: 0.9733, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1840.9025, usercpu_time_millis: 97.474, usercpu_time_millis_testing: 7.724, usercpu_time_millis_training: 89.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7551, kb_relative_information_score: -9.6922, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1848.8462, usercpu_time_millis: 76.147, usercpu_time_millis_testing: 8.373, usercpu_time_millis_training: 67.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7551, kb_relative_information_score: -2647.7095, 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: 0.9587, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.973, scimark_benchmark: 1822.8493, usercpu_time_millis: 49.002, usercpu_time_millis_testing: 1.92, usercpu_time_millis_training: 47.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.7551, kb_relative_information_score: -3792.8549, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9865, scimark_benchmark: 1829.1442, usercpu_time_millis: 47.702, usercpu_time_millis_testing: 2.409, usercpu_time_millis_training: 45.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.7551, kb_relative_information_score: -1674.6792, mean_absolute_error: 0.2747, 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: 0.9806, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9843, scimark_benchmark: 1850.2875, usercpu_time_millis: 93.697, usercpu_time_millis_testing: 11.816, usercpu_time_millis_training: 81.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -2.3122, 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: 1820.7612, usercpu_time_millis: 24.48, usercpu_time_millis_testing: 4.135, usercpu_time_millis_training: 20.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -3084.05, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.9745, scimark_benchmark: 1836.36, usercpu_time_millis: 92.492, usercpu_time_millis_testing: 4.188, usercpu_time_millis_training: 88.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.7551, kb_relative_information_score: -3631.2973, 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: 0.9734, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9837, scimark_benchmark: 1831.6845, usercpu_time_millis: 70.291, usercpu_time_millis_testing: 4.864, usercpu_time_millis_training: 65.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.7551, kb_relative_information_score: -2104.8422, 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: 79.761, usercpu_time_millis_testing: 7.688, usercpu_time_millis_training: 72.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -7.1609, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1836.152, usercpu_time_millis: 24.002, usercpu_time_millis_testing: 4.225, usercpu_time_millis_training: 19.777,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7619, kappa: 0.028, kb_relative_information_score: -2423.0537, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8044, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9349, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1836.0792, usercpu_time_millis: 36.164, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 35.195,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.7551, kb_relative_information_score: -2998.2066, 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: 0.3679, root_relative_squared_error: 0.9831, scimark_benchmark: 1825.5837, usercpu_time_millis: 19.942, usercpu_time_millis_testing: 1.099, usercpu_time_millis_training: 18.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7576, kappa: 0.0104, kb_relative_information_score: -2339.6927, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9434, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1829.1442, usercpu_time_millis: 9.812, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 9.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -5.244, 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: 1832.6707, usercpu_time_millis: 24.758, usercpu_time_millis_testing: 4.273, usercpu_time_millis_training: 20.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -2.6508, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1851.3407, usercpu_time_millis: 21.304, usercpu_time_millis_testing: 3.713, usercpu_time_millis_training: 17.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6504, f_measure: 0.7551, kb_relative_information_score: -1358.5707, mean_absolute_error: 0.2768, 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: 0.9881, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.9899, scimark_benchmark: 1857.5664, usercpu_time_millis: 25.805, usercpu_time_millis_testing: 2.342, usercpu_time_millis_training: 23.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -8.5686, mean_absolute_error: 0.28, 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: 0.9997, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 1, scimark_benchmark: 1825.0556, usercpu_time_millis: 8.214, usercpu_time_millis_testing: 0.97, usercpu_time_millis_training: 7.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.7551, kb_relative_information_score: -3231.7984, 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: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1847.6761, usercpu_time_millis: 4.076, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 3.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.7551, kb_relative_information_score: -2011.5136, mean_absolute_error: 0.2707, 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: 0.9665, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.975, scimark_benchmark: 1836.8111, usercpu_time_millis: 18.041, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 17.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.7551, kb_relative_information_score: -1678.4383, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9856, scimark_benchmark: 1855.0232, usercpu_time_millis: 11.657, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 10.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7551, kb_relative_information_score: -3233.1858, mean_absolute_error: 0.2708, 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: 0.9666, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9789, scimark_benchmark: 1853.454, usercpu_time_millis: 6.561, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 6.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.7596, kappa: 0.0187, kb_relative_information_score: -2537.6722, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7762, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1829.2954, usercpu_time_millis: 1203.859, usercpu_time_millis_testing: 19.763, usercpu_time_millis_training: 1184.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.7586, kappa: 0.0145, kb_relative_information_score: -2624.8749, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7721, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1859.1356, usercpu_time_millis: 1044.837, usercpu_time_millis_testing: 20.728, usercpu_time_millis_training: 1024.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7616, kappa: 0.0267, kb_relative_information_score: -2394.4082, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7932, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9634, scimark_benchmark: 1124.554, usercpu_time_millis: 960.795, usercpu_time_millis_testing: 18.22, usercpu_time_millis_training: 942.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7698, kappa: 0.0614, kb_relative_information_score: -2283.7579, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1849.9572, usercpu_time_millis: 924.295, usercpu_time_millis_testing: 12.426, usercpu_time_millis_training: 911.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.7584, kappa: 0.0137, kb_relative_information_score: -2593.3234, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7733, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1855.0232, usercpu_time_millis: 870.474, usercpu_time_millis_testing: 18.597, usercpu_time_millis_training: 851.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2644.9669, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7762, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1853.0716, usercpu_time_millis: 892.313, usercpu_time_millis_testing: 18.282, usercpu_time_millis_training: 874.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7586, kappa: 0.0145, kb_relative_information_score: -2575.6623, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7779, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1844.2676, usercpu_time_millis: 865.994, usercpu_time_millis_testing: 18.207, usercpu_time_millis_training: 847.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.7645, kappa: 0.0392, kb_relative_information_score: -2335.3558, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7944, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9295, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1842.6679, usercpu_time_millis: 835.542, usercpu_time_millis_testing: 12.103, usercpu_time_millis_training: 823.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7584, kappa: 0.0135, kb_relative_information_score: -2718.865, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7717, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9359, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1838.6023, usercpu_time_millis: 739.737, usercpu_time_millis_testing: 10.877, usercpu_time_millis_training: 728.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.7609, kappa: 0.024, kb_relative_information_score: -2371.7606, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7978, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1853.4477, usercpu_time_millis: 692.228, usercpu_time_millis_testing: 13.821, usercpu_time_millis_training: 678.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7703, kappa: 0.0638, kb_relative_information_score: -2558.7928, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9627, scimark_benchmark: 1846.89, usercpu_time_millis: 718.348, usercpu_time_millis_testing: 7.251, usercpu_time_millis_training: 711.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7703, kappa: 0.0636, kb_relative_information_score: -2286.8004, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, scimark_benchmark: 1808.9842, usercpu_time_millis: 654.82, usercpu_time_millis_testing: 7.839, usercpu_time_millis_training: 646.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7583, kappa: 0.0131, kb_relative_information_score: -2548.9552, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7829, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9664, scimark_benchmark: 1821.3322, usercpu_time_millis: 689.33, usercpu_time_millis_testing: 14.312, usercpu_time_millis_training: 675.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7579, kappa: 0.0116, kb_relative_information_score: -2456.365, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1828.158, usercpu_time_millis: 676.347, usercpu_time_millis_testing: 20.016, usercpu_time_millis_training: 656.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7585, kappa: 0.014, kb_relative_information_score: -2528.1884, mean_absolute_error: 0.2627, 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: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1846.2342, usercpu_time_millis: 618.845, usercpu_time_millis_testing: 17.699, usercpu_time_millis_training: 601.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7623, kappa: 0.0297, kb_relative_information_score: -2199.1168, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1842.0729, usercpu_time_millis: 591.984, usercpu_time_millis_testing: 15.555, usercpu_time_millis_training: 576.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7625, kappa: 0.0307, kb_relative_information_score: -2687.9102, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1842.598, usercpu_time_millis: 580.559, usercpu_time_millis_testing: 19.308, usercpu_time_millis_training: 561.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.758, kappa: 0.0117, kb_relative_information_score: -2463.3808, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7906, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1136.8957, usercpu_time_millis: 560.011, usercpu_time_millis_testing: 17.034, usercpu_time_millis_training: 542.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2453.1412, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7912, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1849.4321, usercpu_time_millis: 576.294, usercpu_time_millis_testing: 17.484, usercpu_time_millis_training: 558.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7595, kappa: 0.0181, kb_relative_information_score: -2463.6124, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7958, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1849.7595, usercpu_time_millis: 593.004, usercpu_time_millis_testing: 20.275, usercpu_time_millis_training: 572.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7583, kappa: 0.0133, kb_relative_information_score: -2495.4516, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7896, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1835.093, usercpu_time_millis: 545.54, usercpu_time_millis_testing: 13.066, usercpu_time_millis_training: 532.474,

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