Task
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: 0.6975, f_measure: 0.7801, kappa: 0.1086, kb_relative_information_score: -1438.7998, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7874, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1268.7453, usercpu_time_millis: 2139.183, usercpu_time_millis_testing: 31.421, usercpu_time_millis_training: 2107.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.7594, kappa: 0.0176, kb_relative_information_score: -1856.8752, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7844, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.96, scimark_benchmark: 1254.5552, usercpu_time_millis: 2068.858, usercpu_time_millis_testing: 42.859, usercpu_time_millis_training: 2025.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3340.6517, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.983, scimark_benchmark: 1250.2414, usercpu_time_millis: 746.808, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 746.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.7551, kb_relative_information_score: -2421.5321, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9799, scimark_benchmark: 1254.8592, usercpu_time_millis: 1862.144, usercpu_time_millis_testing: 29.098, usercpu_time_millis_training: 1833.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7551, kb_relative_information_score: -2571.4522, mean_absolute_error: 0.2681, 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: 0.9572, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1288.2548, usercpu_time_millis: 973.142, usercpu_time_millis_testing: 16.68, usercpu_time_millis_training: 956.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.7568, kappa: 0.0069, kb_relative_information_score: -3549.201, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8183, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9854, scimark_benchmark: 1287.8682, usercpu_time_millis: 580.036, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 579.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -12906.223, mean_absolute_error: 0.3082, 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: 1.1004, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0036, scimark_benchmark: 1262.1337, usercpu_time_millis: 55.846, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 55.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.7565, kappa: 0.0055, kb_relative_information_score: -4000.9694, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8182, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.9874, scimark_benchmark: 1292.2193, usercpu_time_millis: 657.064, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 656.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3353.94, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9827, scimark_benchmark: 1250.4689, usercpu_time_millis: 953.246, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 953.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3445.0646, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1287.7295, usercpu_time_millis: 712.272, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 712.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.7849, kappa: 0.1279, kb_relative_information_score: -646.4519, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8, predictive_accuracy: 0.8364, prior_entropy: 0.6541, recall: 0.8364, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.9535, scimark_benchmark: 1281.7132, usercpu_time_millis: 3819.399, usercpu_time_millis_testing: 82.555, usercpu_time_millis_training: 3736.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3308.7562, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9831, scimark_benchmark: 1294.9887, usercpu_time_millis: 80.864, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 80.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3379.4226, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1290.6694, usercpu_time_millis: 301.416, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 301.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3400.7805, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1262.7157, usercpu_time_millis: 303.839, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 303.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6387, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: -3113.324, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1285.0024, usercpu_time_millis: 73.329, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 73.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -3098.344, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8144, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1274.1823, usercpu_time_millis: 618.905, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 618.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.7551, kb_relative_information_score: -33257.7608, mean_absolute_error: 0.3658, 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: 1.3059, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0556, scimark_benchmark: 1258.8163, usercpu_time_millis: 362.205, usercpu_time_millis_testing: 3.919, usercpu_time_millis_training: 358.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.7852, kappa: 0.1486, kb_relative_information_score: -2239.6507, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7744, predictive_accuracy: 0.8196, prior_entropy: 0.6541, recall: 0.8196, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.0002, scimark_benchmark: 1266.1334, usercpu_time_millis: 302.865, usercpu_time_millis_testing: 4.08, usercpu_time_millis_training: 298.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3441.7045, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1282.988, usercpu_time_millis: 370.294, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 370.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, f_measure: 0.757, kappa: 0.0078, kb_relative_information_score: -3417.0034, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9845, scimark_benchmark: 1263.6711, usercpu_time_millis: 275.382, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 275.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3391.9593, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1287.225, usercpu_time_millis: 533.523, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 533.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.6514, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1273.5252, usercpu_time_millis: 1055.079, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 1055.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7004, f_measure: 0.7678, kappa: 0.0532, kb_relative_information_score: -1688.8505, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7935, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.9223, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.96, scimark_benchmark: 1288.6228, usercpu_time_millis: 531.494, usercpu_time_millis_testing: 6.801, usercpu_time_millis_training: 524.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.7559, kappa: 0.0032, kb_relative_information_score: -3657.0201, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8159, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9876, scimark_benchmark: 1281.1222, usercpu_time_millis: 118.37, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 118.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.789, kappa: 0.1543, kb_relative_information_score: -1110.0677, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7863, predictive_accuracy: 0.8298, prior_entropy: 0.6541, recall: 0.8298, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9707, scimark_benchmark: 1265.5383, usercpu_time_millis: 3090.52, usercpu_time_millis_testing: 53.619, usercpu_time_millis_training: 3036.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.7755, kappa: 0.0861, kb_relative_information_score: -1105.5681, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8351, prior_entropy: 0.6541, recall: 0.8351, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9532, scimark_benchmark: 1266.0618, usercpu_time_millis: 1843.568, usercpu_time_millis_testing: 31.662, usercpu_time_millis_training: 1811.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.7561, kappa: 0.0041, kb_relative_information_score: -4106.1923, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8181, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.9712, scimark_benchmark: 1255.3184, usercpu_time_millis: 467.524, usercpu_time_millis_testing: 9.832, usercpu_time_millis_training: 457.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.7572, kappa: 0.0084, kb_relative_information_score: -3346.2906, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8143, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9842, scimark_benchmark: 1265.9565, usercpu_time_millis: 694.657, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 694.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.7601, kappa: 0.0206, kb_relative_information_score: -2454.2485, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7917, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9759, scimark_benchmark: 1286.4985, usercpu_time_millis: 1087.886, usercpu_time_millis_testing: 8.282, usercpu_time_millis_training: 1079.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.758, kappa: 0.0121, kb_relative_information_score: -2291.14, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7716, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1261.2191, usercpu_time_millis: 1354.451, usercpu_time_millis_testing: 18.672, usercpu_time_millis_training: 1335.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3371.5367, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1287.3024, usercpu_time_millis: 656.087, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 656.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.7739, kappa: 0.1492, kb_relative_information_score: 707.2422, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7632, predictive_accuracy: 0.7882, prior_entropy: 0.6541, recall: 0.7882, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.1266, scimark_benchmark: 1283.471, usercpu_time_millis: 4505.069, usercpu_time_millis_testing: 93.863, usercpu_time_millis_training: 4411.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3340.954, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1292.2987, usercpu_time_millis: 949.771, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 949.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.7754, kappa: 0.085, kb_relative_information_score: -1053.8633, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8056, predictive_accuracy: 0.8361, prior_entropy: 0.6541, recall: 0.8361, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.9527, scimark_benchmark: 1287.9635, usercpu_time_millis: 2894.082, usercpu_time_millis_testing: 53.393, usercpu_time_millis_training: 2840.689,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.7514, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1267.7791, usercpu_time_millis: 667.204, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 667.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.783, kappa: 0.1184, kb_relative_information_score: -536.4367, mean_absolute_error: 0.2501, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.807, predictive_accuracy: 0.8377, prior_entropy: 0.6541, recall: 0.8377, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.9503, scimark_benchmark: 1288.0478, usercpu_time_millis: 8305.722, usercpu_time_millis_testing: 143.916, usercpu_time_millis_training: 8161.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.7775, kappa: 0.1462, kb_relative_information_score: -1121.0042, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7643, predictive_accuracy: 0.7983, prior_entropy: 0.6541, recall: 0.7983, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0613, scimark_benchmark: 1284.0672, usercpu_time_millis: 2654.061, usercpu_time_millis_testing: 52.289, usercpu_time_millis_training: 2601.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.2314, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1265.6552, usercpu_time_millis: 111.912, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 111.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3473.4523, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9821, scimark_benchmark: 1291.3872, usercpu_time_millis: 544.203, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 544.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7847, kappa: 0.1261, kb_relative_information_score: -648.5758, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.804, predictive_accuracy: 0.8374, prior_entropy: 0.6541, recall: 0.8374, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9512, scimark_benchmark: 1286.8922, usercpu_time_millis: 2564.355, usercpu_time_millis_testing: 29.751, usercpu_time_millis_training: 2534.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.7632, kappa: 0.0335, kb_relative_information_score: -1539.6162, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.9575, scimark_benchmark: 1292.0526, usercpu_time_millis: 661.265, usercpu_time_millis_testing: 11.048, usercpu_time_millis_training: 650.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.7743, kappa: 0.0805, kb_relative_information_score: -1120.7157, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8063, predictive_accuracy: 0.836, prior_entropy: 0.6541, recall: 0.836, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9532, scimark_benchmark: 1270.3399, usercpu_time_millis: 5137.012, usercpu_time_millis_testing: 86.347, usercpu_time_millis_training: 5050.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3497.4711, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1292.0748, usercpu_time_millis: 227.887, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 227.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3331.7857, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1287.0403, usercpu_time_millis: 448.222, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 448.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.778, kappa: 0.1008, kb_relative_information_score: -2110.959, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7795, predictive_accuracy: 0.8299, prior_entropy: 0.6541, recall: 0.8299, relative_absolute_error: 0.9087, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.9709, scimark_benchmark: 1289.6204, usercpu_time_millis: 88.283, usercpu_time_millis_testing: 1.445, usercpu_time_millis_training: 86.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, f_measure: 0.7568, kappa: 0.0069, kb_relative_information_score: -3403.8356, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8183, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9851, scimark_benchmark: 1266.2195, usercpu_time_millis: 753.391, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 753.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3441.7197, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1268.9976, usercpu_time_millis: 223.62, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 223.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3447.7569, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1293.3781, usercpu_time_millis: 706.08, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 706.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7601, kappa: 0.0207, kb_relative_information_score: -2161.029, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7886, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1264.9526, usercpu_time_millis: 92.262, usercpu_time_millis_testing: 1.145, usercpu_time_millis_training: 91.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.7749, kappa: 0.0829, kb_relative_information_score: -954.5748, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8066, predictive_accuracy: 0.8361, prior_entropy: 0.6541, recall: 0.8361, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.9522, scimark_benchmark: 1270.3687, usercpu_time_millis: 6788.305, usercpu_time_millis_testing: 104.948, usercpu_time_millis_training: 6683.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3520.2888, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1259.2225, usercpu_time_millis: 1153.236, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1153.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.7551, kb_relative_information_score: -5295.521, mean_absolute_error: 0.29, 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: 1.0351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.369, root_relative_squared_error: 0.9861, scimark_benchmark: 1289.6023, usercpu_time_millis: 2704.582, usercpu_time_millis_testing: 47.354, usercpu_time_millis_training: 2657.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3415.3502, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1290.3551, usercpu_time_millis: 919.386, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 919.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -3318.3103, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8172, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9836, scimark_benchmark: 1258.2039, usercpu_time_millis: 345.516, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 345.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6385, f_measure: 0.7726, kappa: 0.1368, kb_relative_information_score: -4017.2459, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7603, predictive_accuracy: 0.7899, prior_entropy: 0.6541, recall: 0.7899, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4008, root_relative_squared_error: 1.0709, scimark_benchmark: 1268.6756, usercpu_time_millis: 366.454, usercpu_time_millis_testing: 6.104, usercpu_time_millis_training: 360.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -3379.6025, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8184, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.975, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9847, scimark_benchmark: 1286.6178, usercpu_time_millis: 628.237, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 628.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.5021, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1291.2926, usercpu_time_millis: 1062.245, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1062.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.7786, kappa: 0.0995, kb_relative_information_score: -951.7669, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8019, predictive_accuracy: 0.8361, prior_entropy: 0.6541, recall: 0.8361, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.9519, scimark_benchmark: 1291.809, usercpu_time_millis: 1826.328, usercpu_time_millis_testing: 39.472, usercpu_time_millis_training: 1786.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.7569, kappa: 0.0074, kb_relative_information_score: -3492.4167, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8204, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.985, scimark_benchmark: 1292.2875, usercpu_time_millis: 347.036, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 346.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3321.8388, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1265.0768, usercpu_time_millis: 348.919, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 348.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.7551, kb_relative_information_score: -15981.408, mean_absolute_error: 0.3171, 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: 1.1321, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.9934, scimark_benchmark: 1290.9958, usercpu_time_millis: 88.819, usercpu_time_millis_testing: 1.357, usercpu_time_millis_training: 87.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, f_measure: 0.7572, kappa: 0.0084, kb_relative_information_score: -3393.4009, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8143, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9845, scimark_benchmark: 1262.7546, usercpu_time_millis: 762.115, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 762.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.7551, kb_relative_information_score: -2542.617, mean_absolute_error: 0.2719, 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: 0.9708, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9785, scimark_benchmark: 1260.9336, usercpu_time_millis: 282.157, usercpu_time_millis_testing: 2.805, usercpu_time_millis_training: 279.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3391.8736, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1275.4144, usercpu_time_millis: 554.435, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 554.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.7551, kb_relative_information_score: -18940.1478, mean_absolute_error: 0.3247, 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: 1.1593, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.0145, scimark_benchmark: 1273.0875, usercpu_time_millis: 50.181, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 50.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -2460.4221, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1288.3777, usercpu_time_millis: 925.874, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 925.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3400.5386, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1288.5304, usercpu_time_millis: 490.599, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 490.53,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs