OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.6031, kappa: 0.2062, kb_relative_information_score: 15.6981, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6031, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9959, scimark_benchmark: 1294.9613, usercpu_time_millis: 55.226, usercpu_time_millis_testing: 5.111, usercpu_time_millis_training: 50.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1311.1241, usercpu_time_millis: 9.376, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 8.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1279.7625, usercpu_time_millis: 24.389, usercpu_time_millis_testing: 2.803, usercpu_time_millis_training: 21.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6084, kappa: 0.2169, kb_relative_information_score: 100.2247, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6085, predictive_accuracy: 0.6085, prior_entropy: 1, recall: 0.6085, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9755, scimark_benchmark: 1312.4759, usercpu_time_millis: 26.329, usercpu_time_millis_testing: 2.229, usercpu_time_millis_training: 24.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7679, kappa: 0.5377, kb_relative_information_score: 561.5372, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7735, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8534, scimark_benchmark: 1275.5769, usercpu_time_millis: 353.298, usercpu_time_millis_testing: 5.849, usercpu_time_millis_training: 347.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.7819, kappa: 0.5654, kb_relative_information_score: 608.2326, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7869, predictive_accuracy: 0.7827, prior_entropy: 1, recall: 0.7827, relative_absolute_error: 0.808, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.841, scimark_benchmark: 1310.4402, usercpu_time_millis: 673.889, usercpu_time_millis_testing: 9.601, usercpu_time_millis_training: 664.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6346, kappa: 0.2692, kb_relative_information_score: 129.9833, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6347, predictive_accuracy: 0.6346, prior_entropy: 1, recall: 0.6346, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9677, scimark_benchmark: 1309.8585, usercpu_time_millis: 110.248, usercpu_time_millis_testing: 6.343, usercpu_time_millis_training: 103.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.7007, kappa: 0.4031, kb_relative_information_score: 276.3987, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7039, predictive_accuracy: 0.7015, prior_entropy: 1, recall: 0.7015, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9296, scimark_benchmark: 1311.3442, usercpu_time_millis: 138.294, usercpu_time_millis_testing: 4.331, usercpu_time_millis_training: 133.963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.6249, kappa: 0.25, kb_relative_information_score: 79.6919, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6252, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9799, scimark_benchmark: 1304.4037, usercpu_time_millis: 135.359, usercpu_time_millis_testing: 8.594, usercpu_time_millis_training: 126.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.6825, kappa: 0.3662, kb_relative_information_score: 220.1853, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6843, predictive_accuracy: 0.6831, prior_entropy: 1, recall: 0.6831, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9437, scimark_benchmark: 1299.9516, usercpu_time_millis: 446.975, usercpu_time_millis_testing: 16.167, usercpu_time_millis_training: 430.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.6265, kappa: 0.2538, kb_relative_information_score: 86.305, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6275, predictive_accuracy: 0.6269, prior_entropy: 1, recall: 0.6269, relative_absolute_error: 0.9757, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9784, scimark_benchmark: 1295.0194, usercpu_time_millis: 104.258, usercpu_time_millis_testing: 6.401, usercpu_time_millis_training: 97.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.647, kappa: 0.2946, kb_relative_information_score: 146.7072, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6477, predictive_accuracy: 0.6473, prior_entropy: 1, recall: 0.6473, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.9627, scimark_benchmark: 1279.9103, usercpu_time_millis: 198.104, usercpu_time_millis_testing: 8.977, usercpu_time_millis_training: 189.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.6788, kappa: 0.36, kb_relative_information_score: 259.3741, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6828, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9351, scimark_benchmark: 1308.9177, usercpu_time_millis: 68.051, usercpu_time_millis_testing: 2.316, usercpu_time_millis_training: 65.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7192, kappa: 0.4385, kb_relative_information_score: 462.3258, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7192, predictive_accuracy: 0.7192, prior_entropy: 1, recall: 0.7192, relative_absolute_error: 0.8537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.8877, scimark_benchmark: 1296.6617, usercpu_time_millis: 46.935, usercpu_time_millis_testing: 1.616, usercpu_time_millis_training: 45.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6354, kappa: 0.2715, kb_relative_information_score: 129.221, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6363, predictive_accuracy: 0.6358, prior_entropy: 1, recall: 0.6358, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9675, scimark_benchmark: 1313.8463, usercpu_time_millis: 61.707, usercpu_time_millis_testing: 3.335, usercpu_time_millis_training: 58.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.6855, kappa: 0.3731, kb_relative_information_score: 281.3, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6891, predictive_accuracy: 0.6865, prior_entropy: 1, recall: 0.6865, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9294, scimark_benchmark: 1310.1206, usercpu_time_millis: 49.21, usercpu_time_millis_testing: 2.341, usercpu_time_millis_training: 46.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1269.5105, usercpu_time_millis: 16.807, usercpu_time_millis_testing: 1.964, usercpu_time_millis_training: 14.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.6783, kappa: 0.3569, kb_relative_information_score: 252.3488, mean_absolute_error: 0.4622, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6788, predictive_accuracy: 0.6785, prior_entropy: 1, recall: 0.6785, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9375, scimark_benchmark: 1307.8873, usercpu_time_millis: 81.78, usercpu_time_millis_testing: 2.599, usercpu_time_millis_training: 79.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.6417, kappa: 0.2846, kb_relative_information_score: 183.8368, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6432, predictive_accuracy: 0.6423, prior_entropy: 1, recall: 0.6423, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9546, scimark_benchmark: 1302.1759, usercpu_time_millis: 79.772, usercpu_time_millis_testing: 3.283, usercpu_time_millis_training: 76.489,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6165, kappa: 0.2331, kb_relative_information_score: 55.33, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6165, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.986, scimark_benchmark: 1298.6492, usercpu_time_millis: 151.544, usercpu_time_millis_testing: 11.101, usercpu_time_millis_training: 140.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7721, kappa: 0.5462, kb_relative_information_score: 567.3464, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7776, predictive_accuracy: 0.7731, prior_entropy: 1, recall: 0.7731, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8518, scimark_benchmark: 1290.6115, usercpu_time_millis: 387.483, usercpu_time_millis_testing: 6.357, usercpu_time_millis_training: 381.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.6025, kappa: 0.2054, kb_relative_information_score: 59.9208, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6029, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9849, scimark_benchmark: 1278.3533, usercpu_time_millis: 59.161, usercpu_time_millis_testing: 3.634, usercpu_time_millis_training: 55.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.8097, kappa: 0.62, kb_relative_information_score: 729.2548, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8122, predictive_accuracy: 0.81, prior_entropy: 1, recall: 0.81, relative_absolute_error: 0.7663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8069, scimark_benchmark: 1286.8136, usercpu_time_millis: 1157.266, usercpu_time_millis_testing: 13.438, usercpu_time_millis_training: 1143.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6155, kappa: 0.2315, kb_relative_information_score: 128.6241, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6161, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9701, scimark_benchmark: 1307.321, usercpu_time_millis: 31.083, usercpu_time_millis_testing: 1.922, usercpu_time_millis_training: 29.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.703, f_measure: 0.6451, kappa: 0.2908, kb_relative_information_score: 208.3755, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6458, predictive_accuracy: 0.6454, prior_entropy: 1, recall: 0.6454, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9517, scimark_benchmark: 1304.064, usercpu_time_millis: 25.599, usercpu_time_millis_testing: 1.565, usercpu_time_millis_training: 24.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.7105, kappa: 0.4238, kb_relative_information_score: 334.38, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7163, predictive_accuracy: 0.7119, prior_entropy: 1, recall: 0.7119, relative_absolute_error: 0.8986, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9154, scimark_benchmark: 1283.4967, usercpu_time_millis: 245.862, usercpu_time_millis_testing: 6.455, usercpu_time_millis_training: 239.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.6728, kappa: 0.3477, kb_relative_information_score: 278.3664, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6762, predictive_accuracy: 0.6738, prior_entropy: 1, recall: 0.6738, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.9334, scimark_benchmark: 1309.024, usercpu_time_millis: 11.346, usercpu_time_millis_testing: 0.997, usercpu_time_millis_training: 10.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6541, kappa: 0.31, kb_relative_information_score: 223.832, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6566, predictive_accuracy: 0.655, prior_entropy: 1, recall: 0.655, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.945, scimark_benchmark: 1306.4334, usercpu_time_millis: 190.751, usercpu_time_millis_testing: 5.992, usercpu_time_millis_training: 184.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7322, kappa: 0.4669, kb_relative_information_score: 414.9523, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7379, predictive_accuracy: 0.7335, prior_entropy: 1, recall: 0.7335, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.895, scimark_benchmark: 1302.2926, usercpu_time_millis: 187.719, usercpu_time_millis_testing: 3.768, usercpu_time_millis_training: 183.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6596, f_measure: 0.6014, kappa: 0.2031, kb_relative_information_score: 63.0358, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6016, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9843, scimark_benchmark: 1286.3392, usercpu_time_millis: 43.383, usercpu_time_millis_testing: 3.471, usercpu_time_millis_training: 39.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.6937, kappa: 0.39, kb_relative_information_score: 265.493, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6984, predictive_accuracy: 0.695, prior_entropy: 1, recall: 0.695, relative_absolute_error: 0.9211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9323, scimark_benchmark: 1310.5551, usercpu_time_millis: 442.03, usercpu_time_millis_testing: 12.707, usercpu_time_millis_training: 429.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.613, kappa: 0.2262, kb_relative_information_score: 89.1067, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6132, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9776, scimark_benchmark: 1302.1709, usercpu_time_millis: 31.473, usercpu_time_millis_testing: 2.426, usercpu_time_millis_training: 29.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.6939, kappa: 0.3892, kb_relative_information_score: 242.7569, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6965, predictive_accuracy: 0.6946, prior_entropy: 1, recall: 0.6946, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381, scimark_benchmark: 1293.3984, usercpu_time_millis: 256.902, usercpu_time_millis_testing: 9.318, usercpu_time_millis_training: 247.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7646, kappa: 0.5315, kb_relative_information_score: 548.3717, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.771, predictive_accuracy: 0.7658, prior_entropy: 1, recall: 0.7658, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8576, scimark_benchmark: 1301.2148, usercpu_time_millis: 738.917, usercpu_time_millis_testing: 12.486, usercpu_time_millis_training: 726.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1310.5215, usercpu_time_millis: 9.506, usercpu_time_millis_testing: 1.009, usercpu_time_millis_training: 8.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7532, kappa: 0.5092, kb_relative_information_score: 494.8314, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7604, predictive_accuracy: 0.7546, prior_entropy: 1, recall: 0.7546, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.8715, scimark_benchmark: 1284.6621, usercpu_time_millis: 820.434, usercpu_time_millis_testing: 15.322, usercpu_time_millis_training: 805.112,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7456, kappa: 0.4938, kb_relative_information_score: 462.2279, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7523, predictive_accuracy: 0.7469, prior_entropy: 1, recall: 0.7469, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.8807, scimark_benchmark: 1300.1503, usercpu_time_millis: 642.579, usercpu_time_millis_testing: 7.928, usercpu_time_millis_training: 634.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.6793, kappa: 0.36, kb_relative_information_score: 223.5865, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6815, predictive_accuracy: 0.68, prior_entropy: 1, recall: 0.68, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9429, scimark_benchmark: 1295.1806, usercpu_time_millis: 152.462, usercpu_time_millis_testing: 5.386, usercpu_time_millis_training: 147.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.662, kappa: 0.3254, kb_relative_information_score: 233.5626, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6641, predictive_accuracy: 0.6627, prior_entropy: 1, recall: 0.6627, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9416, scimark_benchmark: 1282.7912, usercpu_time_millis: 145.542, usercpu_time_millis_testing: 4.475, usercpu_time_millis_training: 141.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.6787, kappa: 0.3577, kb_relative_information_score: 250.4394, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6792, predictive_accuracy: 0.6788, prior_entropy: 1, recall: 0.6788, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9386, scimark_benchmark: 1306.5428, usercpu_time_millis: 49.253, usercpu_time_millis_testing: 2.089, usercpu_time_millis_training: 47.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.6455, kappa: 0.2915, kb_relative_information_score: 157.104, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6463, predictive_accuracy: 0.6458, prior_entropy: 1, recall: 0.6458, relative_absolute_error: 0.9546, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9604, scimark_benchmark: 1283.299, usercpu_time_millis: 41.74, usercpu_time_millis_testing: 2.399, usercpu_time_millis_training: 39.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6503, f_measure: 0.6038, kappa: 0.2077, kb_relative_information_score: 23.8278, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6039, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1307.3381, usercpu_time_millis: 19.978, usercpu_time_millis_testing: 1.886, usercpu_time_millis_training: 18.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.6065, kappa: 0.2131, kb_relative_information_score: 52.702, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6065, predictive_accuracy: 0.6065, prior_entropy: 1, recall: 0.6065, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9866, scimark_benchmark: 1288.6238, usercpu_time_millis: 11.822, usercpu_time_millis_testing: 1.069, usercpu_time_millis_training: 10.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7323, kappa: 0.4662, kb_relative_information_score: 399.312, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7357, predictive_accuracy: 0.7331, prior_entropy: 1, recall: 0.7331, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.8975, scimark_benchmark: 1308.905, usercpu_time_millis: 84.527, usercpu_time_millis_testing: 2.394, usercpu_time_millis_training: 82.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.6084, kappa: 0.2169, kb_relative_information_score: 121.5693, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6085, predictive_accuracy: 0.6085, prior_entropy: 1, recall: 0.6085, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9709, scimark_benchmark: 1280.7014, usercpu_time_millis: 83.366, usercpu_time_millis_testing: 4.648, usercpu_time_millis_training: 78.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.736, kappa: 0.4746, kb_relative_information_score: 390.71, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7422, predictive_accuracy: 0.7373, prior_entropy: 1, recall: 0.7373, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4498, root_relative_squared_error: 0.8997, scimark_benchmark: 1307.4697, usercpu_time_millis: 641.633, usercpu_time_millis_testing: 11.547, usercpu_time_millis_training: 630.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8014, f_measure: 0.7256, kappa: 0.4531, kb_relative_information_score: 331.8989, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7296, predictive_accuracy: 0.7265, prior_entropy: 1, recall: 0.7265, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4573, root_relative_squared_error: 0.9146, scimark_benchmark: 1309.7362, usercpu_time_millis: 536.856, usercpu_time_millis_testing: 13.489, usercpu_time_millis_training: 523.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6564, kappa: 0.3138, kb_relative_information_score: 207.1976, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6579, predictive_accuracy: 0.6569, prior_entropy: 1, recall: 0.6569, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9497, scimark_benchmark: 1304.7043, usercpu_time_millis: 50.352, usercpu_time_millis_testing: 2.135, usercpu_time_millis_training: 48.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7349, kappa: 0.4723, kb_relative_information_score: 381.3561, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7409, predictive_accuracy: 0.7362, prior_entropy: 1, recall: 0.7362, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9018, scimark_benchmark: 1309.0672, usercpu_time_millis: 425.234, usercpu_time_millis_testing: 9.965, usercpu_time_millis_training: 415.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.6356, kappa: 0.2715, kb_relative_information_score: 104.8841, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.636, predictive_accuracy: 0.6358, prior_entropy: 1, recall: 0.6358, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9734, scimark_benchmark: 1302.4924, usercpu_time_millis: 257.557, usercpu_time_millis_testing: 13.652, usercpu_time_millis_training: 243.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7285, kappa: 0.46, kb_relative_information_score: 385.7389, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7352, predictive_accuracy: 0.73, prior_entropy: 1, recall: 0.73, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9013, scimark_benchmark: 1307.3436, usercpu_time_millis: 122.733, usercpu_time_millis_testing: 2.558, usercpu_time_millis_training: 120.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6185, kappa: 0.2369, kb_relative_information_score: 155.0026, mean_absolute_error: 0.4774, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6185, predictive_accuracy: 0.6185, prior_entropy: 1, recall: 0.6185, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.481, root_relative_squared_error: 0.962, scimark_benchmark: 1309.9763, usercpu_time_millis: 82.97, usercpu_time_millis_testing: 3.983, usercpu_time_millis_training: 78.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.7373, kappa: 0.4769, kb_relative_information_score: 411.2824, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7428, predictive_accuracy: 0.7385, prior_entropy: 1, recall: 0.7385, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.447, root_relative_squared_error: 0.894, scimark_benchmark: 1307.5052, usercpu_time_millis: 435.321, usercpu_time_millis_testing: 10.44, usercpu_time_millis_training: 424.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.6196, kappa: 0.2392, kb_relative_information_score: 59.5666, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6197, predictive_accuracy: 0.6196, prior_entropy: 1, recall: 0.6196, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1293.804, usercpu_time_millis: 47.073, usercpu_time_millis_testing: 3.42, usercpu_time_millis_training: 43.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.6472, kappa: 0.2954, kb_relative_information_score: 188.3267, mean_absolute_error: 0.4724, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6486, predictive_accuracy: 0.6477, prior_entropy: 1, recall: 0.6477, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9527, scimark_benchmark: 1286.0988, usercpu_time_millis: 144.452, usercpu_time_millis_testing: 6.306, usercpu_time_millis_training: 138.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7554, kappa: 0.5131, kb_relative_information_score: 523.8241, mean_absolute_error: 0.4181, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7616, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8645, scimark_benchmark: 1308.2625, usercpu_time_millis: 557.558, usercpu_time_millis_testing: 9.902, usercpu_time_millis_training: 547.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1288.3677, usercpu_time_millis: 26.784, usercpu_time_millis_testing: 3.56, usercpu_time_millis_training: 23.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1311.3905, usercpu_time_millis: 14.551, usercpu_time_millis_testing: 1.86, usercpu_time_millis_training: 12.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.7131, kappa: 0.4292, kb_relative_information_score: 325.2336, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7193, predictive_accuracy: 0.7146, prior_entropy: 1, recall: 0.7146, relative_absolute_error: 0.9017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9176, scimark_benchmark: 1308.7182, usercpu_time_millis: 235.679, usercpu_time_millis_testing: 6.608, usercpu_time_millis_training: 229.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6582, f_measure: 0.6134, kappa: 0.2269, kb_relative_information_score: 66.1715, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6135, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, scimark_benchmark: 1302.5858, usercpu_time_millis: 78.258, usercpu_time_millis_testing: 5.522, usercpu_time_millis_training: 72.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.5997, kappa: 0.2, kb_relative_information_score: 110.6361, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6003, predictive_accuracy: 0.6, prior_entropy: 1, recall: 0.6, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9736, scimark_benchmark: 1291.7115, usercpu_time_millis: 70.382, usercpu_time_millis_testing: 2.887, usercpu_time_millis_training: 67.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6283, kappa: 0.2577, kb_relative_information_score: 176.1489, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6296, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4783, root_relative_squared_error: 0.9567, scimark_benchmark: 1289.1914, usercpu_time_millis: 49.863, usercpu_time_millis_testing: 2.548, usercpu_time_millis_training: 47.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.6682, kappa: 0.3377, kb_relative_information_score: 204.7033, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6702, predictive_accuracy: 0.6688, prior_entropy: 1, recall: 0.6688, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9479, scimark_benchmark: 1288.7071, usercpu_time_millis: 177.97, usercpu_time_millis_testing: 5.744, usercpu_time_millis_training: 172.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.6646, kappa: 0.3292, kb_relative_information_score: 408.5375, mean_absolute_error: 0.4335, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6646, predictive_accuracy: 0.6646, prior_entropy: 1, recall: 0.6646, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9184, scimark_benchmark: 1309.3818, usercpu_time_millis: 13.255, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 12.307,

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