Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 59790 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.6052, kappa: 0.2292, kb_relative_information_score: 0.2292, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6267, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.7708, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6208, root_relative_squared_error: 1.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, f_measure: 0.593, kappa: 0.1908, kb_relative_information_score: 0.1908, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5976, predictive_accuracy: 0.5954, prior_entropy: 1, recall: 0.5954, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6361, root_relative_squared_error: 1.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.6061, kappa: 0.2123, kb_relative_information_score: 30.9648, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6062, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1273.2251, usercpu_time_millis: 32.362, usercpu_time_millis_testing: 3.331, usercpu_time_millis_training: 29.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6122, kappa: 0.2246, kb_relative_information_score: 76.138, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6124, predictive_accuracy: 0.6123, prior_entropy: 1, recall: 0.6123, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9816, scimark_benchmark: 1248.0956, usercpu_time_millis: 65.93, usercpu_time_millis_testing: 4.01, usercpu_time_millis_training: 61.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 61.6413, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9845, scimark_benchmark: 1273.7329, usercpu_time_millis: 156.06, usercpu_time_millis_testing: 11.436, usercpu_time_millis_training: 144.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6544, kappa: 0.3092, kb_relative_information_score: 147.557, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6549, predictive_accuracy: 0.6546, prior_entropy: 1, recall: 0.6546, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9633, scimark_benchmark: 1236.9364, usercpu_time_millis: 81.863, usercpu_time_millis_testing: 4.197, usercpu_time_millis_training: 77.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.5996, kappa: 0.1992, kb_relative_information_score: 31.2328, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5996, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9919, scimark_benchmark: 1274.7081, usercpu_time_millis: 19.596, usercpu_time_millis_testing: 1.751, usercpu_time_millis_training: 17.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6477, kappa: 0.2962, kb_relative_information_score: 174.6404, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6487, predictive_accuracy: 0.6481, prior_entropy: 1, recall: 0.6481, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9564, scimark_benchmark: 1273.7868, usercpu_time_millis: 106.452, usercpu_time_millis_testing: 5.262, usercpu_time_millis_training: 101.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.6203, kappa: 0.2408, kb_relative_information_score: 65.0721, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6205, predictive_accuracy: 0.6204, prior_entropy: 1, recall: 0.6204, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9835, scimark_benchmark: 1240.6771, usercpu_time_millis: 197.007, usercpu_time_millis_testing: 16.335, usercpu_time_millis_training: 180.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6237, kappa: 0.2477, kb_relative_information_score: 101.9038, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6241, predictive_accuracy: 0.6238, prior_entropy: 1, recall: 0.6238, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9749, scimark_benchmark: 1240.6863, usercpu_time_millis: 21.148, usercpu_time_millis_testing: 1.546, usercpu_time_millis_training: 19.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.6538, kappa: 0.3085, kb_relative_information_score: 179.9958, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6551, predictive_accuracy: 0.6542, prior_entropy: 1, recall: 0.6542, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.477, root_relative_squared_error: 0.9541, scimark_benchmark: 1256.3227, usercpu_time_millis: 228.876, usercpu_time_millis_testing: 9.42, usercpu_time_millis_training: 219.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.6226, kappa: 0.2454, kb_relative_information_score: 83.9005, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6228, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9786, scimark_benchmark: 1265.4082, usercpu_time_millis: 48.603, usercpu_time_millis_testing: 3.188, usercpu_time_millis_training: 45.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.6268, kappa: 0.2538, kb_relative_information_score: 93.7262, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.627, predictive_accuracy: 0.6269, prior_entropy: 1, recall: 0.6269, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9761, scimark_benchmark: 1277.1125, usercpu_time_millis: 86.968, usercpu_time_millis_testing: 5.251, usercpu_time_millis_training: 81.717,
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: 1265.2664, usercpu_time_millis: 20.458, usercpu_time_millis_testing: 2.569, usercpu_time_millis_training: 17.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.6265, kappa: 0.2538, kb_relative_information_score: 132.6369, mean_absolute_error: 0.4809, 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: 0.9618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9673, scimark_benchmark: 1244.0021, usercpu_time_millis: 97.994, usercpu_time_millis_testing: 4.578, usercpu_time_millis_training: 93.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.5607, kappa: 0.1215, kb_relative_information_score: 39.5369, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5608, predictive_accuracy: 0.5608, prior_entropy: 1, recall: 0.5608, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1247.3481, usercpu_time_millis: 37.618, usercpu_time_millis_testing: 2.626, usercpu_time_millis_training: 34.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.5896, kappa: 0.1792, kb_relative_information_score: 9.4954, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5897, predictive_accuracy: 0.5896, prior_entropy: 1, recall: 0.5896, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9975, scimark_benchmark: 1269.9131, usercpu_time_millis: 27.964, usercpu_time_millis_testing: 3.065, usercpu_time_millis_training: 24.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.6076, kappa: 0.2154, kb_relative_information_score: 90.9054, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6078, predictive_accuracy: 0.6077, prior_entropy: 1, recall: 0.6077, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9788, scimark_benchmark: 1246.015, usercpu_time_millis: 36.071, usercpu_time_millis_testing: 2.379, usercpu_time_millis_training: 33.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, f_measure: 0.5869, kappa: 0.1738, kb_relative_information_score: 46.4081, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.587, predictive_accuracy: 0.5869, prior_entropy: 1, recall: 0.5869, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9885, scimark_benchmark: 1274.8228, usercpu_time_millis: 83.291, usercpu_time_millis_testing: 6.59, usercpu_time_millis_training: 76.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.6283, kappa: 0.2569, kb_relative_information_score: 102.5253, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6287, predictive_accuracy: 0.6285, prior_entropy: 1, recall: 0.6285, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9739, scimark_benchmark: 1232.8454, usercpu_time_millis: 91.937, usercpu_time_millis_testing: 5.521, usercpu_time_millis_training: 86.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.6197, kappa: 0.24, kb_relative_information_score: 79.9082, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6204, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9798, scimark_benchmark: 1257.3132, usercpu_time_millis: 177.49, usercpu_time_millis_testing: 11.035, usercpu_time_millis_training: 166.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6423, kappa: 0.2854, kb_relative_information_score: 141.7523, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6433, predictive_accuracy: 0.6427, prior_entropy: 1, recall: 0.6427, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9644, scimark_benchmark: 1275.2441, usercpu_time_millis: 101.049, usercpu_time_millis_testing: 4.266, usercpu_time_millis_training: 96.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.6556, kappa: 0.3115, kb_relative_information_score: 166.0391, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6562, predictive_accuracy: 0.6558, prior_entropy: 1, recall: 0.6558, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9578, scimark_benchmark: 1244.6538, usercpu_time_millis: 329.355, usercpu_time_millis_testing: 14.894, usercpu_time_millis_training: 314.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.5864, kappa: 0.1731, kb_relative_information_score: 46.6445, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5867, predictive_accuracy: 0.5865, prior_entropy: 1, recall: 0.5865, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9888, scimark_benchmark: 1250.5298, usercpu_time_millis: 26.887, usercpu_time_millis_testing: 2.131, usercpu_time_millis_training: 24.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.603, kappa: 0.2062, kb_relative_information_score: 59.4731, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6032, predictive_accuracy: 0.6031, prior_entropy: 1, recall: 0.6031, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9849, scimark_benchmark: 1244.081, usercpu_time_millis: 86.835, usercpu_time_millis_testing: 6.462, usercpu_time_millis_training: 80.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6595, kappa: 0.32, kb_relative_information_score: 174.5625, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6609, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.9493, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9557, scimark_benchmark: 1251.0919, usercpu_time_millis: 61.548, usercpu_time_millis_testing: 3.036, usercpu_time_millis_training: 58.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.6249, kappa: 0.25, kb_relative_information_score: 73.5342, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6251, predictive_accuracy: 0.625, prior_entropy: 1, recall: 0.625, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9814, scimark_benchmark: 1266.6472, usercpu_time_millis: 67.22, usercpu_time_millis_testing: 5.231, usercpu_time_millis_training: 61.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.6107, kappa: 0.2215, kb_relative_information_score: 76.4136, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9805, scimark_benchmark: 1254.2401, usercpu_time_millis: 57.055, usercpu_time_millis_testing: 3.996, usercpu_time_millis_training: 53.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6622, kappa: 0.3254, kb_relative_information_score: 170.6795, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6637, predictive_accuracy: 0.6627, prior_entropy: 1, recall: 0.6627, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9564, scimark_benchmark: 1268.9532, usercpu_time_millis: 348.932, usercpu_time_millis_testing: 13.774, usercpu_time_millis_training: 335.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6682, f_measure: 0.6153, kappa: 0.2308, kb_relative_information_score: 65.7797, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6154, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4917, root_relative_squared_error: 0.9834, scimark_benchmark: 1274.3488, usercpu_time_millis: 171.184, usercpu_time_millis_testing: 11.544, usercpu_time_millis_training: 159.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.6425, kappa: 0.2854, kb_relative_information_score: 131.4163, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6431, predictive_accuracy: 0.6427, prior_entropy: 1, recall: 0.6427, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9668, scimark_benchmark: 1249.1938, usercpu_time_millis: 272.482, usercpu_time_millis_testing: 13.308, usercpu_time_millis_training: 259.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.6425, kappa: 0.2854, kb_relative_information_score: 109.9742, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6429, predictive_accuracy: 0.6427, prior_entropy: 1, recall: 0.6427, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9719, scimark_benchmark: 1273.7801, usercpu_time_millis: 324.352, usercpu_time_millis_testing: 16.044, usercpu_time_millis_training: 308.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.5919, kappa: 0.1838, kb_relative_information_score: 81.004, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5919, predictive_accuracy: 0.5919, prior_entropy: 1, recall: 0.5919, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9816, scimark_benchmark: 1264.8864, usercpu_time_millis: 27.121, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 25.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.6259, kappa: 0.2523, kb_relative_information_score: 91.2722, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6265, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.977, scimark_benchmark: 1254.0646, usercpu_time_millis: 176.731, usercpu_time_millis_testing: 10.872, usercpu_time_millis_training: 165.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.6268, kappa: 0.2538, kb_relative_information_score: 74.5774, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6271, predictive_accuracy: 0.6269, prior_entropy: 1, recall: 0.6269, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.981, scimark_benchmark: 1252.1193, usercpu_time_millis: 48.926, usercpu_time_millis_testing: 2.757, usercpu_time_millis_training: 46.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.6092, kappa: 0.2185, kb_relative_information_score: 50.2131, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 1, recall: 0.6092, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9871, scimark_benchmark: 1280.4991, usercpu_time_millis: 23.708, usercpu_time_millis_testing: 1.812, usercpu_time_millis_training: 21.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6445, kappa: 0.2892, kb_relative_information_score: 157.669, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6448, predictive_accuracy: 0.6446, prior_entropy: 1, recall: 0.6446, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9615, scimark_benchmark: 1261.5441, usercpu_time_millis: 64.285, usercpu_time_millis_testing: 2.907, usercpu_time_millis_training: 61.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.6111, kappa: 0.2223, kb_relative_information_score: 49.3614, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6112, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9873, scimark_benchmark: 1249.2901, usercpu_time_millis: 66.138, usercpu_time_millis_testing: 5.077, usercpu_time_millis_training: 61.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6654, f_measure: 0.613, kappa: 0.2262, kb_relative_information_score: 43.3775, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6131, predictive_accuracy: 0.6131, prior_entropy: 1, recall: 0.6131, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9888, scimark_benchmark: 1252.5356, usercpu_time_millis: 42.55, usercpu_time_millis_testing: 3.552, usercpu_time_millis_training: 38.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.6488, kappa: 0.2985, kb_relative_information_score: 157.4334, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6499, predictive_accuracy: 0.6492, prior_entropy: 1, recall: 0.6492, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9604, scimark_benchmark: 1266.8583, usercpu_time_millis: 226.3, usercpu_time_millis_testing: 9.261, usercpu_time_millis_training: 217.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.6255, kappa: 0.2515, kb_relative_information_score: 111.1668, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6261, predictive_accuracy: 0.6258, prior_entropy: 1, recall: 0.6258, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9718, scimark_benchmark: 1240.3595, usercpu_time_millis: 189.089, usercpu_time_millis_testing: 10.056, usercpu_time_millis_training: 179.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.5724, kappa: 0.1454, kb_relative_information_score: 19.2227, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5729, predictive_accuracy: 0.5727, prior_entropy: 1, recall: 0.5727, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951, scimark_benchmark: 1239.6391, usercpu_time_millis: 9.36, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 8.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6142, kappa: 0.2285, kb_relative_information_score: 78.4019, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6142, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9808, scimark_benchmark: 1244.6678, usercpu_time_millis: 49.68, usercpu_time_millis_testing: 3.455, usercpu_time_millis_training: 46.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.6375, kappa: 0.2754, kb_relative_information_score: 115.0726, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.638, predictive_accuracy: 0.6377, prior_entropy: 1, recall: 0.6377, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9709, scimark_benchmark: 1256.2615, usercpu_time_millis: 99.12, usercpu_time_millis_testing: 4.768, usercpu_time_millis_training: 94.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.6318, kappa: 0.2638, kb_relative_information_score: 104.789, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6321, predictive_accuracy: 0.6319, prior_entropy: 1, recall: 0.6319, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9733, scimark_benchmark: 1269.4458, usercpu_time_millis: 85.834, usercpu_time_millis_testing: 5.284, usercpu_time_millis_training: 80.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.6383, kappa: 0.2769, kb_relative_information_score: 125.9813, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6387, predictive_accuracy: 0.6385, prior_entropy: 1, recall: 0.6385, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9679, scimark_benchmark: 1279.1627, usercpu_time_millis: 62.951, usercpu_time_millis_testing: 3.42, usercpu_time_millis_training: 59.531,
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: 1248.019, usercpu_time_millis: 9.446, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 8.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.6023, kappa: 0.2046, kb_relative_information_score: 36.307, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6023, predictive_accuracy: 0.6023, prior_entropy: 1, recall: 0.6023, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9907, scimark_benchmark: 1258.7183, usercpu_time_millis: 13.587, usercpu_time_millis_testing: 1.277, usercpu_time_millis_training: 12.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.6449, kappa: 0.29, kb_relative_information_score: 134.5507, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6452, predictive_accuracy: 0.645, prior_entropy: 1, recall: 0.645, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.967, scimark_benchmark: 1250.8303, usercpu_time_millis: 41.572, usercpu_time_millis_testing: 2.405, usercpu_time_millis_training: 39.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.6275, kappa: 0.2554, kb_relative_information_score: 99.3483, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6279, predictive_accuracy: 0.6277, prior_entropy: 1, recall: 0.6277, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9749, scimark_benchmark: 1270.3828, usercpu_time_millis: 65.734, usercpu_time_millis_testing: 3.793, usercpu_time_millis_training: 61.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.6302, kappa: 0.2608, kb_relative_information_score: 119.8524, mean_absolute_error: 0.4829, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6306, predictive_accuracy: 0.6304, prior_entropy: 1, recall: 0.6304, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9697, scimark_benchmark: 1269.8556, usercpu_time_millis: 72.731, usercpu_time_millis_testing: 4.099, usercpu_time_millis_training: 68.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.6211, kappa: 0.2423, kb_relative_information_score: 86.1586, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6212, predictive_accuracy: 0.6212, prior_entropy: 1, recall: 0.6212, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.489, root_relative_squared_error: 0.978, scimark_benchmark: 1244.9589, usercpu_time_millis: 84.317, usercpu_time_millis_testing: 4.826, usercpu_time_millis_training: 79.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.6574, kappa: 0.3154, kb_relative_information_score: 182.9003, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6582, predictive_accuracy: 0.6577, prior_entropy: 1, recall: 0.6577, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9533, scimark_benchmark: 1270.1298, usercpu_time_millis: 471.018, usercpu_time_millis_testing: 18.091, usercpu_time_millis_training: 452.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6104, kappa: 0.2208, kb_relative_information_score: 60.148, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6104, predictive_accuracy: 0.6104, prior_entropy: 1, recall: 0.6104, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9847, scimark_benchmark: 1273.8568, usercpu_time_millis: 91.553, usercpu_time_millis_testing: 6.474, usercpu_time_millis_training: 85.079,
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: 0.6474, f_measure: 0.5996, kappa: 0.1992, kb_relative_information_score: 41.7396, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5996, predictive_accuracy: 0.5996, prior_entropy: 1, recall: 0.5996, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894, scimark_benchmark: 1258.9356, usercpu_time_millis: 221.268, usercpu_time_millis_testing: 17.307, usercpu_time_millis_training: 203.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.5365, kappa: 0.0731, kb_relative_information_score: 57.045, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5365, predictive_accuracy: 0.5365, prior_entropy: 1, recall: 0.5365, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0075, scimark_benchmark: 1272.2294, usercpu_time_millis: 9.558, usercpu_time_millis_testing: 0.992, usercpu_time_millis_training: 8.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.6371, kappa: 0.2746, kb_relative_information_score: 133.8175, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6376, predictive_accuracy: 0.6373, prior_entropy: 1, recall: 0.6373, relative_absolute_error: 0.9615, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9669, scimark_benchmark: 1250.946, usercpu_time_millis: 40.378, usercpu_time_millis_testing: 2.157, usercpu_time_millis_training: 38.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.6692, kappa: 0.3392, kb_relative_information_score: 195.9938, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6705, predictive_accuracy: 0.6696, prior_entropy: 1, recall: 0.6696, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9507, scimark_benchmark: 1251.624, usercpu_time_millis: 110.601, usercpu_time_millis_testing: 4.813, usercpu_time_millis_training: 105.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.6171, kappa: 0.2346, kb_relative_information_score: 97.956, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6175, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9757, scimark_benchmark: 1246.4796, usercpu_time_millis: 29.918, usercpu_time_millis_testing: 2.213, usercpu_time_millis_training: 27.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6376, kappa: 0.2762, kb_relative_information_score: 139.7224, mean_absolute_error: 0.48, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6388, predictive_accuracy: 0.6381, prior_entropy: 1, recall: 0.6381, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9644, scimark_benchmark: 1256.4764, usercpu_time_millis: 263.105, usercpu_time_millis_testing: 10.75, usercpu_time_millis_training: 252.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.5684, kappa: 0.1369, kb_relative_information_score: 21.9314, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5685, predictive_accuracy: 0.5685, prior_entropy: 1, recall: 0.5685, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1273.2033, usercpu_time_millis: 41.833, usercpu_time_millis_testing: 3.567, usercpu_time_millis_training: 38.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.6408, kappa: 0.2823, kb_relative_information_score: 146.3154, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6418, predictive_accuracy: 0.6412, prior_entropy: 1, recall: 0.6412, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4815, root_relative_squared_error: 0.9629, scimark_benchmark: 1247.4042, usercpu_time_millis: 173.695, usercpu_time_millis_testing: 8.395, usercpu_time_millis_training: 165.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.6259, kappa: 0.2523, kb_relative_information_score: 109.8723, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6264, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9723, scimark_benchmark: 1237.2046, usercpu_time_millis: 142.742, usercpu_time_millis_testing: 7.981, usercpu_time_millis_training: 134.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6075, f_measure: 0.5757, kappa: 0.1515, kb_relative_information_score: 12.6029, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5759, predictive_accuracy: 0.5758, prior_entropy: 1, recall: 0.5758, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9968, scimark_benchmark: 1252.6895, usercpu_time_millis: 13.672, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 12.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.6081, kappa: 0.2162, kb_relative_information_score: 33.2878, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6081, predictive_accuracy: 0.6081, prior_entropy: 1, recall: 0.6081, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9914, scimark_benchmark: 1255.5787, usercpu_time_millis: 42.823, usercpu_time_millis_testing: 3.764, usercpu_time_millis_training: 39.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.6288, kappa: 0.2577, kb_relative_information_score: 114.7951, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.629, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9716, scimark_benchmark: 1258.9907, usercpu_time_millis: 30.801, usercpu_time_millis_testing: 2.577, usercpu_time_millis_training: 28.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 79.5349, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, 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: 1270.8375, usercpu_time_millis: 211.45, usercpu_time_millis_testing: 12.885, usercpu_time_millis_training: 198.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.6578, kappa: 0.3162, kb_relative_information_score: 164.7448, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6586, predictive_accuracy: 0.6581, prior_entropy: 1, recall: 0.6581, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.479, root_relative_squared_error: 0.9581, scimark_benchmark: 1268.8082, usercpu_time_millis: 314.012, usercpu_time_millis_testing: 12.546, usercpu_time_millis_training: 301.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.6073, kappa: 0.2146, kb_relative_information_score: 50.753, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6074, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9872, scimark_benchmark: 1242.9929, usercpu_time_millis: 29.797, usercpu_time_millis_testing: 2.291, usercpu_time_millis_training: 27.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.6614, kappa: 0.3238, kb_relative_information_score: 190.7239, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6629, predictive_accuracy: 0.6619, prior_entropy: 1, recall: 0.6619, relative_absolute_error: 0.9443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9517, scimark_benchmark: 1282.2788, usercpu_time_millis: 140.877, usercpu_time_millis_testing: 5.644, usercpu_time_millis_training: 135.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.6115, kappa: 0.2231, kb_relative_information_score: 28.9935, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6115, predictive_accuracy: 0.6115, prior_entropy: 1, recall: 0.6115, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9925, scimark_benchmark: 1283.0409, usercpu_time_millis: 56.545, usercpu_time_millis_testing: 5.238, usercpu_time_millis_training: 51.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.6142, kappa: 0.2285, kb_relative_information_score: 230.7633, mean_absolute_error: 0.4635, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6143, predictive_accuracy: 0.6142, prior_entropy: 1, recall: 0.6142, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9668, scimark_benchmark: 1249.9427, usercpu_time_millis: 13.969, usercpu_time_millis_testing: 1.098, usercpu_time_millis_training: 12.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.6092, kappa: 0.2185, kb_relative_information_score: 30.878, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6092, predictive_accuracy: 0.6092, prior_entropy: 1, recall: 0.6092, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.496, root_relative_squared_error: 0.992, scimark_benchmark: 1256.8083, usercpu_time_millis: 45.905, usercpu_time_millis_testing: 3.897, usercpu_time_millis_training: 42.008,
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: 0.7049, f_measure: 0.6325, kappa: 0.2654, kb_relative_information_score: 136.7127, mean_absolute_error: 0.4803, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.633, predictive_accuracy: 0.6327, prior_entropy: 1, recall: 0.6327, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4829, root_relative_squared_error: 0.9658, scimark_benchmark: 1277.9098, usercpu_time_millis: 28.905, usercpu_time_millis_testing: 1.698, usercpu_time_millis_training: 27.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.6234, kappa: 0.2469, kb_relative_information_score: 85.7063, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6236, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9783, scimark_benchmark: 1254.6376, usercpu_time_millis: 168.976, usercpu_time_millis_testing: 10.491, usercpu_time_millis_training: 158.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.6309, kappa: 0.2623, kb_relative_information_score: 115.4436, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6315, predictive_accuracy: 0.6312, prior_entropy: 1, recall: 0.6312, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9712, scimark_benchmark: 1273.3723, usercpu_time_millis: 103.036, usercpu_time_millis_testing: 6.482, usercpu_time_millis_training: 96.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.656, kappa: 0.3131, kb_relative_information_score: 158.6153, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6576, predictive_accuracy: 0.6565, prior_entropy: 1, recall: 0.6565, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.48, root_relative_squared_error: 0.9599, scimark_benchmark: 1275.3574, usercpu_time_millis: 152.657, usercpu_time_millis_testing: 6.496, usercpu_time_millis_training: 146.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.6283, kappa: 0.2569, kb_relative_information_score: 106.4672, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6286, predictive_accuracy: 0.6285, prior_entropy: 1, recall: 0.6285, relative_absolute_error: 0.9698, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.973, scimark_benchmark: 1245.7947, usercpu_time_millis: 153.442, usercpu_time_millis_testing: 9.113, usercpu_time_millis_training: 144.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.6693, kappa: 0.3392, kb_relative_information_score: 176.7433, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6703, predictive_accuracy: 0.6696, prior_entropy: 1, recall: 0.6696, relative_absolute_error: 0.9487, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9553, scimark_benchmark: 1267.2376, usercpu_time_millis: 180.773, usercpu_time_millis_testing: 6.872, usercpu_time_millis_training: 173.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.6372, kappa: 0.2746, kb_relative_information_score: 131.8997, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6374, predictive_accuracy: 0.6373, prior_entropy: 1, recall: 0.6373, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9671, scimark_benchmark: 1280.3878, usercpu_time_millis: 116.042, usercpu_time_millis_testing: 5.515, usercpu_time_millis_training: 110.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6348, kappa: 0.27, kb_relative_information_score: 114.0984, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6353, predictive_accuracy: 0.635, prior_entropy: 1, recall: 0.635, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9709, scimark_benchmark: 1244.4216, usercpu_time_millis: 139.459, usercpu_time_millis_testing: 7.625, usercpu_time_millis_training: 131.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.6153, kappa: 0.2308, kb_relative_information_score: 74.5091, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6155, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9815, scimark_benchmark: 1250.3124, usercpu_time_millis: 68.648, usercpu_time_millis_testing: 4.627, usercpu_time_millis_training: 64.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.6433, kappa: 0.2869, kb_relative_information_score: 125.5672, mean_absolute_error: 0.4821, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6437, predictive_accuracy: 0.6435, prior_entropy: 1, recall: 0.6435, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9683, scimark_benchmark: 1275.1827, usercpu_time_millis: 157.967, usercpu_time_millis_testing: 8.513, usercpu_time_millis_training: 149.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.6214, kappa: 0.2431, kb_relative_information_score: 77.0302, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6217, predictive_accuracy: 0.6215, prior_entropy: 1, recall: 0.6215, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9803, scimark_benchmark: 1253.3134, usercpu_time_millis: 144.865, usercpu_time_millis_testing: 9.337, usercpu_time_millis_training: 135.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.6328, kappa: 0.2662, kb_relative_information_score: 94.5727, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6334, predictive_accuracy: 0.6331, prior_entropy: 1, recall: 0.6331, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.976, scimark_benchmark: 1264.0497, usercpu_time_millis: 242.177, usercpu_time_millis_testing: 13.689, usercpu_time_millis_training: 228.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.6268, kappa: 0.2538, kb_relative_information_score: 106.0249, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6271, predictive_accuracy: 0.6269, prior_entropy: 1, recall: 0.6269, relative_absolute_error: 0.9699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9733, scimark_benchmark: 1277.6399, usercpu_time_millis: 75.433, usercpu_time_millis_testing: 4.262, usercpu_time_millis_training: 71.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6392, kappa: 0.2792, kb_relative_information_score: 138.3169, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6402, predictive_accuracy: 0.6396, prior_entropy: 1, recall: 0.6396, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9647, scimark_benchmark: 1273.2231, usercpu_time_millis: 309.784, usercpu_time_millis_testing: 13.146, usercpu_time_millis_training: 296.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.6324, kappa: 0.2654, kb_relative_information_score: 120.1998, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6331, predictive_accuracy: 0.6327, prior_entropy: 1, recall: 0.6327, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9697, scimark_benchmark: 1276.5324, usercpu_time_millis: 118.303, usercpu_time_millis_testing: 6.409, usercpu_time_millis_training: 111.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.5931, kappa: 0.1862, kb_relative_information_score: 14.9938, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5931, predictive_accuracy: 0.5931, prior_entropy: 1, recall: 0.5931, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9961, scimark_benchmark: 1279.248, usercpu_time_millis: 45.045, usercpu_time_millis_testing: 4.294, usercpu_time_millis_training: 40.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.6154, kappa: 0.2308, kb_relative_information_score: 79.5523, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6154, predictive_accuracy: 0.6154, prior_entropy: 1, recall: 0.6154, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9797, scimark_benchmark: 1265.7584, usercpu_time_millis: 39.661, usercpu_time_millis_testing: 2.732, usercpu_time_millis_training: 36.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.6245, kappa: 0.2492, kb_relative_information_score: 120.4243, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6248, predictive_accuracy: 0.6246, prior_entropy: 1, recall: 0.6246, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9697, scimark_benchmark: 1278.5368, usercpu_time_millis: 59.414, usercpu_time_millis_testing: 3.304, usercpu_time_millis_training: 56.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.601, kappa: 0.2023, kb_relative_information_score: 25.0698, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6013, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9935, scimark_benchmark: 1275.9583, usercpu_time_millis: 34.875, usercpu_time_millis_testing: 2.7, usercpu_time_millis_training: 32.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.6119, kappa: 0.2238, kb_relative_information_score: 60.0614, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.612, predictive_accuracy: 0.6119, prior_entropy: 1, recall: 0.6119, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1269.8891, usercpu_time_millis: 160.622, usercpu_time_millis_testing: 11.93, usercpu_time_millis_training: 148.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.6728, kappa: 0.3469, kb_relative_information_score: 204.1597, mean_absolute_error: 0.4701, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6749, predictive_accuracy: 0.6735, prior_entropy: 1, recall: 0.6735, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9479, scimark_benchmark: 1246.817, usercpu_time_millis: 409.53, usercpu_time_millis_testing: 16.358, usercpu_time_millis_training: 393.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.6199, kappa: 0.24, kb_relative_information_score: 82.4207, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6202, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.979, scimark_benchmark: 1266.6906, usercpu_time_millis: 86.787, usercpu_time_millis_testing: 4.877, usercpu_time_millis_training: 81.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.6211, kappa: 0.2423, kb_relative_information_score: 72.5531, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6212, predictive_accuracy: 0.6212, prior_entropy: 1, recall: 0.6212, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9816, scimark_benchmark: 1248.7102, usercpu_time_millis: 301.243, usercpu_time_millis_testing: 21.506, usercpu_time_millis_training: 279.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.6134, kappa: 0.2269, kb_relative_information_score: 60.134, mean_absolute_error: 0.4916, 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: 0.9833, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1252.1137, usercpu_time_millis: 77.446, usercpu_time_millis_testing: 5.986, usercpu_time_millis_training: 71.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.6482, kappa: 0.2969, kb_relative_information_score: 153.5198, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6489, predictive_accuracy: 0.6485, prior_entropy: 1, recall: 0.6485, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9614, scimark_benchmark: 1247.1754, usercpu_time_millis: 104.673, usercpu_time_millis_testing: 5.154, usercpu_time_millis_training: 99.519,

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

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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

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