Task
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21183 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5182, f_measure: 0.7689, kappa: 0.0578, kb_relative_information_score: 11137.0521, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7943, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4079, root_relative_squared_error: 1.0898, usercpu_time_millis: 7.141, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 7.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.7702, kappa: 0.0637, kb_relative_information_score: 11050.3444, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7895, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.5956, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.0915, usercpu_time_millis: 6.366, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 6.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7553, kappa: 0.0006, kb_relative_information_score: -2268.1877, mean_absolute_error: 0.2646, 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: 0.9444, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1729.2756, usercpu_time_millis: 426.927, usercpu_time_millis_testing: 19.016, usercpu_time_millis_training: 407.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.7565, kappa: 0.0056, kb_relative_information_score: -2358.3383, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7887, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1732.4272, usercpu_time_millis: 422.973, usercpu_time_millis_testing: 14.628, usercpu_time_millis_training: 408.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.7551, kb_relative_information_score: -3893.8087, 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: 0.3683, root_relative_squared_error: 0.9841, scimark_benchmark: 1079.3199, usercpu_time_millis: 273.707, usercpu_time_millis_testing: 10.973, usercpu_time_millis_training: 262.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7587, kappa: 0.0146, kb_relative_information_score: -1741.6474, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8235, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9653, scimark_benchmark: 1733.8087, usercpu_time_millis: 119.373, usercpu_time_millis_testing: 6.218, usercpu_time_millis_training: 113.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.7551, kb_relative_information_score: -1976.0764, 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: 0.9663, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.975, scimark_benchmark: 1733.7613, usercpu_time_millis: 118.696, usercpu_time_millis_testing: 8.922, usercpu_time_millis_training: 109.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.7551, kb_relative_information_score: -2834.8287, 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: 0.9619, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9752, scimark_benchmark: 1070.7065, usercpu_time_millis: 22.352, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 21.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -2304.2812, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8066, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1855.0232, usercpu_time_millis: 296.247, usercpu_time_millis_testing: 15.962, usercpu_time_millis_training: 280.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7699, kappa: 0.0618, kb_relative_information_score: -2907.6801, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7992, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1847.4562, usercpu_time_millis: 199.129, usercpu_time_millis_testing: 4.423, usercpu_time_millis_training: 194.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.761, kappa: 0.0241, kb_relative_information_score: -2613.1645, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7965, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1747.8758, usercpu_time_millis: 94.26, usercpu_time_millis_testing: 1.659, usercpu_time_millis_training: 92.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6495, f_measure: 0.7551, kb_relative_information_score: -1143.5779, mean_absolute_error: 0.2772, 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: 0.9897, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.991, scimark_benchmark: 1848.388, usercpu_time_millis: 72.847, usercpu_time_millis_testing: 9.457, usercpu_time_millis_training: 63.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.7551, kb_relative_information_score: -1804.4325, mean_absolute_error: 0.2737, 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: 0.9772, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1850.8185, usercpu_time_millis: 75.45, usercpu_time_millis_testing: 7.086, usercpu_time_millis_training: 68.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.7551, kb_relative_information_score: -1119.867, mean_absolute_error: 0.2773, 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: 0.9898, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.9911, scimark_benchmark: 1849.3742, usercpu_time_millis: 63.911, usercpu_time_millis_testing: 7.815, usercpu_time_millis_training: 56.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -2084.673, mean_absolute_error: 0.2695, 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: 0.962, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9721, scimark_benchmark: 1842.3285, usercpu_time_millis: 14.964, usercpu_time_millis_testing: 0.834, usercpu_time_millis_training: 14.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.7551, kb_relative_information_score: -3065.6439, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.976, scimark_benchmark: 1629.3931, usercpu_time_millis: 93.174, usercpu_time_millis_testing: 5.074, usercpu_time_millis_training: 88.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7551, kb_relative_information_score: -1985.2368, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9732, scimark_benchmark: 1845.3986, usercpu_time_millis: 19.157, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 17.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -16.1561, 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: 1736.4936, usercpu_time_millis: 7.588, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 6.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7588, kappa: 0.0151, kb_relative_information_score: -2508.3677, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7835, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 2055.678, usercpu_time_millis: 632.151, usercpu_time_millis_testing: 13.433, usercpu_time_millis_training: 618.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7601, kappa: 0.0205, kb_relative_information_score: -2379.0707, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8037, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 1856.5802, usercpu_time_millis: 489.184, usercpu_time_millis_testing: 17.179, usercpu_time_millis_training: 472.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.7579, kappa: 0.0117, kb_relative_information_score: -2646.7394, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7766, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9708, scimark_benchmark: 1811.6559, usercpu_time_millis: 359.874, usercpu_time_millis_testing: 10.17, usercpu_time_millis_training: 349.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7707, kappa: 0.0655, kb_relative_information_score: -2717.3642, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.798, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, scimark_benchmark: 1849.9303, usercpu_time_millis: 316.248, usercpu_time_millis_testing: 3.534, usercpu_time_millis_training: 312.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2430.2621, mean_absolute_error: 0.2656, 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: 0.9481, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1841.2811, usercpu_time_millis: 268.17, usercpu_time_millis_testing: 11.555, usercpu_time_millis_training: 256.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.758, kappa: 0.0117, kb_relative_information_score: -2554.5403, mean_absolute_error: 0.2649, 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: 0.9457, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9703, scimark_benchmark: 1826.5781, usercpu_time_millis: 230.436, usercpu_time_millis_testing: 8.642, usercpu_time_millis_training: 221.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.7708, kappa: 0.066, kb_relative_information_score: -4199.2079, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7958, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649, scimark_benchmark: 1798.3205, usercpu_time_millis: 157.614, usercpu_time_millis_testing: 5.876, usercpu_time_millis_training: 151.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.7777, kappa: 0.0968, kb_relative_information_score: -3468.8026, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7897, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9702, scimark_benchmark: 1802.2456, usercpu_time_millis: 109.242, usercpu_time_millis_testing: 1.745, usercpu_time_millis_training: 107.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6576, f_measure: 0.7551, kb_relative_information_score: -2907.7724, mean_absolute_error: 0.2733, 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: 0.9758, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9832, scimark_benchmark: 1770.6223, usercpu_time_millis: 62.134, usercpu_time_millis_testing: 5.766, usercpu_time_millis_training: 56.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.7551, kb_relative_information_score: -2352.9805, 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: 0.3655, root_relative_squared_error: 0.9766, scimark_benchmark: 1855.0232, usercpu_time_millis: 54.654, usercpu_time_millis_testing: 4.375, usercpu_time_millis_training: 50.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: 1.2586, 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: 1853.5818, usercpu_time_millis: 48.657, usercpu_time_millis_testing: 8.481, usercpu_time_millis_training: 40.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.7551, kb_relative_information_score: -4074.2387, 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: 0.9738, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9862, scimark_benchmark: 1848.8462, usercpu_time_millis: 59.88, usercpu_time_millis_testing: 3.815, usercpu_time_millis_training: 56.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.7551, kb_relative_information_score: -2118.9085, 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: 0.9797, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9842, scimark_benchmark: 1856.125, usercpu_time_millis: 57.914, usercpu_time_millis_testing: 5.279, usercpu_time_millis_training: 52.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2341.6092, 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: 0.9494, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9676, scimark_benchmark: 1806.0342, usercpu_time_millis: 61.184, usercpu_time_millis_testing: 2.94, usercpu_time_millis_training: 58.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7551, kb_relative_information_score: -28.6948, 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: 1852.0126, usercpu_time_millis: 33.023, usercpu_time_millis_testing: 3.961, usercpu_time_millis_training: 29.062,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.7551, kb_relative_information_score: -2659.718, mean_absolute_error: 0.2696, 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: 0.9625, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.975, scimark_benchmark: 1883.5446, usercpu_time_millis: 97.135, usercpu_time_millis_testing: 5.627, usercpu_time_millis_training: 91.508,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6574, f_measure: 0.7775, kappa: 0.1038, kb_relative_information_score: -5066.4621, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7699, predictive_accuracy: 0.8243, prior_entropy: 0.6541, recall: 0.8243, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.9933, scimark_benchmark: 1722.7212, usercpu_time_millis: 108.586, usercpu_time_millis_testing: 1.268, usercpu_time_millis_training: 107.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.7551, kb_relative_information_score: -1394.4086, 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: 0.9878, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.9897, scimark_benchmark: 1748.3904, usercpu_time_millis: 50.845, usercpu_time_millis_testing: 5.669, usercpu_time_millis_training: 45.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7563, kappa: 0.005, kb_relative_information_score: -1876.3501, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8333, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9678, scimark_benchmark: 1773.4272, usercpu_time_millis: 18.155, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 17.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7568, kappa: 0.0071, kb_relative_information_score: -2345.1285, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8163, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1742.1275, usercpu_time_millis: 14.697, usercpu_time_millis_testing: 0.783, usercpu_time_millis_training: 13.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.768, kappa: 0.0539, kb_relative_information_score: -2237.7117, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.961, scimark_benchmark: 1739.3121, usercpu_time_millis: 791.492, usercpu_time_millis_testing: 13.688, usercpu_time_millis_training: 777.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7601, kappa: 0.0205, kb_relative_information_score: -2472.0135, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7973, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1732.3665, usercpu_time_millis: 770.785, usercpu_time_millis_testing: 19.572, usercpu_time_millis_training: 751.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7584, kappa: 0.0135, kb_relative_information_score: -2634.4506, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7693, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9674, scimark_benchmark: 1736.599, usercpu_time_millis: 464.244, usercpu_time_millis_testing: 7.536, usercpu_time_millis_training: 456.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7605, kappa: 0.0223, kb_relative_information_score: -2111.1713, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8157, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1729.3292, usercpu_time_millis: 410.974, usercpu_time_millis_testing: 17.549, usercpu_time_millis_training: 393.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -1836.8045, mean_absolute_error: 0.2677, 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: 0.9555, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1728.9285, usercpu_time_millis: 253.884, usercpu_time_millis_testing: 17.506, usercpu_time_millis_training: 236.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6573, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3287.0177, 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: 0.3661, root_relative_squared_error: 0.9782, scimark_benchmark: 1839.6694, usercpu_time_millis: 178.234, usercpu_time_millis_testing: 6.558, usercpu_time_millis_training: 171.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7553, kappa: 0.0009, kb_relative_information_score: -2745.5008, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.971, scimark_benchmark: 1839.282, usercpu_time_millis: 158.68, usercpu_time_millis_testing: 5.424, usercpu_time_millis_training: 153.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7552, kappa: 0.0001, kb_relative_information_score: -1804.3487, mean_absolute_error: 0.2675, 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: 0.9551, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1734.1037, usercpu_time_millis: 148.06, usercpu_time_millis_testing: 7.897, usercpu_time_millis_training: 140.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.7551, kb_relative_information_score: -3355.7269, 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: 0.986, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9913, scimark_benchmark: 1736.2851, usercpu_time_millis: 123.73, usercpu_time_millis_testing: 9.377, usercpu_time_millis_training: 114.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.7551, kb_relative_information_score: -3677.3809, 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: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1843.3995, usercpu_time_millis: 113.841, usercpu_time_millis_testing: 6.942, usercpu_time_millis_training: 106.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.7571, kappa: 0.008, kb_relative_information_score: -2519.9872, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7906, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.969, scimark_benchmark: 1741.7566, usercpu_time_millis: 14.366, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 13.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7563, kappa: 0.0048, kb_relative_information_score: -1765.846, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8182, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1729.8163, usercpu_time_millis: 345.701, usercpu_time_millis_testing: 19.745, usercpu_time_millis_training: 325.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7605, kappa: 0.0222, kb_relative_information_score: -2462.8804, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1096.7717, usercpu_time_millis: 998.408, usercpu_time_millis_testing: 32.647, usercpu_time_millis_training: 965.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7657, kappa: 0.0439, kb_relative_information_score: -2315.1011, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8012, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1852.9259, usercpu_time_millis: 291.443, usercpu_time_millis_testing: 8.241, usercpu_time_millis_training: 283.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.761, kappa: 0.0242, kb_relative_information_score: -2395.1797, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8167, predictive_accuracy: 0.8333, prior_entropy: 0.6541, recall: 0.8333, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1848.7304, usercpu_time_millis: 242.161, usercpu_time_millis_testing: 16.148, usercpu_time_millis_training: 226.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.7607, kappa: 0.0228, kb_relative_information_score: -2430.4156, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8164, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 1757.1281, usercpu_time_millis: 167.074, usercpu_time_millis_testing: 11.787, usercpu_time_millis_training: 155.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.7551, kb_relative_information_score: -1957.1837, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9719, scimark_benchmark: 1732.4272, usercpu_time_millis: 192.853, usercpu_time_millis_testing: 12.896, usercpu_time_millis_training: 179.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.7612, kappa: 0.0253, kb_relative_information_score: -2416.0332, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8002, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9637, scimark_benchmark: 1721.1874, usercpu_time_millis: 877.308, usercpu_time_millis_testing: 21.156, usercpu_time_millis_training: 856.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7551, kb_relative_information_score: -1973.6736, 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: 0.3632, root_relative_squared_error: 0.9704, scimark_benchmark: 1770.0503, usercpu_time_millis: 118.586, usercpu_time_millis_testing: 8.768, usercpu_time_millis_training: 109.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.7794, kappa: 0.1116, kb_relative_information_score: -4393.2099, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7733, predictive_accuracy: 0.8256, prior_entropy: 0.6541, recall: 0.8256, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9881, scimark_benchmark: 1050.1213, usercpu_time_millis: 287.444, usercpu_time_millis_testing: 3.744, usercpu_time_millis_training: 283.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.7624, kappa: 0.0302, kb_relative_information_score: -2275.1247, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8096, predictive_accuracy: 0.8335, prior_entropy: 0.6541, recall: 0.8335, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9618, scimark_benchmark: 1756.6372, usercpu_time_millis: 170.466, usercpu_time_millis_testing: 10.108, usercpu_time_millis_training: 160.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7555, kappa: 0.0014, kb_relative_information_score: -1823.6198, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1853, usercpu_time_millis: 24.384, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 23.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7584, kappa: 0.0136, kb_relative_information_score: -1707.8451, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8232, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1899.9325, usercpu_time_millis: 69.832, usercpu_time_millis_testing: 3.695, usercpu_time_millis_training: 66.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.7583, kappa: 0.013, kb_relative_information_score: -2464.2046, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8054, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9677, scimark_benchmark: 1884.938, usercpu_time_millis: 252.597, usercpu_time_millis_testing: 10.938, usercpu_time_millis_training: 241.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.7551, kb_relative_information_score: -2945.5388, 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: 0.9607, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9757, scimark_benchmark: 1876.4718, usercpu_time_millis: 133.587, usercpu_time_millis_testing: 7.17, usercpu_time_millis_training: 126.417,

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