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: 0.6779, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 59.67, mean_absolute_error: 0.4917, 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: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9847, scimark_benchmark: 1278.4221, usercpu_time_millis: 68.873, usercpu_time_millis_testing: 5.06, usercpu_time_millis_training: 63.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6292, kappa: 0.2592, kb_relative_information_score: 131.3426, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6301, predictive_accuracy: 0.6296, prior_entropy: 1, recall: 0.6296, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9667, scimark_benchmark: 1270.8266, usercpu_time_millis: 60.59, usercpu_time_millis_testing: 3.409, usercpu_time_millis_training: 57.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.6103, kappa: 0.2208, kb_relative_information_score: 31.8775, mean_absolute_error: 0.4957, 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: 0.9913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9917, scimark_benchmark: 1248.8057, usercpu_time_millis: 59.786, usercpu_time_millis_testing: 4.492, usercpu_time_millis_training: 55.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.6388, kappa: 0.2785, kb_relative_information_score: 140.6891, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6399, predictive_accuracy: 0.6392, prior_entropy: 1, recall: 0.6392, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9643, scimark_benchmark: 1254.4832, usercpu_time_millis: 175.744, usercpu_time_millis_testing: 6.941, usercpu_time_millis_training: 168.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.6292, kappa: 0.2585, kb_relative_information_score: 80.9252, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6293, predictive_accuracy: 0.6292, prior_entropy: 1, recall: 0.6292, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9797, scimark_benchmark: 1260.2615, usercpu_time_millis: 129.068, usercpu_time_millis_testing: 8.451, usercpu_time_millis_training: 120.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.5958, kappa: 0.1915, kb_relative_information_score: 23.6118, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5958, predictive_accuracy: 0.5958, prior_entropy: 1, recall: 0.5958, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9939, scimark_benchmark: 1251.7246, usercpu_time_millis: 32.6, usercpu_time_millis_testing: 2.858, usercpu_time_millis_training: 29.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.6149, kappa: 0.23, kb_relative_information_score: 62.5816, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6151, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9841, scimark_benchmark: 1260.0388, usercpu_time_millis: 21.686, usercpu_time_millis_testing: 1.658, usercpu_time_millis_training: 20.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6196, kappa: 0.2392, kb_relative_information_score: 69.704, mean_absolute_error: 0.4903, 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: 0.9806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9821, scimark_benchmark: 1261.9444, usercpu_time_millis: 75.437, usercpu_time_millis_testing: 5.194, usercpu_time_millis_training: 70.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.6002, kappa: 0.2008, kb_relative_information_score: 45.1541, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6006, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9887, scimark_benchmark: 1263.0931, usercpu_time_millis: 11.844, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 10.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.6253, kappa: 0.2508, kb_relative_information_score: 92.0922, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6255, predictive_accuracy: 0.6254, prior_entropy: 1, recall: 0.6254, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9765, scimark_benchmark: 1264.4463, usercpu_time_millis: 103.683, usercpu_time_millis_testing: 6.452, usercpu_time_millis_training: 97.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6245, kappa: 0.2492, kb_relative_information_score: 80.0514, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6247, predictive_accuracy: 0.6246, prior_entropy: 1, recall: 0.6246, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1251.5613, usercpu_time_millis: 269.926, usercpu_time_millis_testing: 16.33, usercpu_time_millis_training: 253.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.6059, kappa: 0.2123, kb_relative_information_score: 81.6631, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6064, predictive_accuracy: 0.6062, prior_entropy: 1, recall: 0.6062, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796, scimark_benchmark: 1265.3393, usercpu_time_millis: 12.978, usercpu_time_millis_testing: 1.132, usercpu_time_millis_training: 11.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6314, kappa: 0.2631, kb_relative_information_score: 100.0786, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6318, predictive_accuracy: 0.6315, prior_entropy: 1, recall: 0.6315, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9747, scimark_benchmark: 1244.219, usercpu_time_millis: 184.032, usercpu_time_millis_testing: 10.586, usercpu_time_millis_training: 173.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.627, kappa: 0.2546, kb_relative_information_score: 114.4034, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6277, predictive_accuracy: 0.6273, prior_entropy: 1, recall: 0.6273, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9712, scimark_benchmark: 1250.6854, usercpu_time_millis: 177.332, usercpu_time_millis_testing: 9.752, usercpu_time_millis_training: 167.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.6053, kappa: 0.2108, kb_relative_information_score: 34.9131, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6054, predictive_accuracy: 0.6054, prior_entropy: 1, recall: 0.6054, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9911, scimark_benchmark: 1256.1593, usercpu_time_millis: 135.565, usercpu_time_millis_testing: 9.967, usercpu_time_millis_training: 125.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6569, kappa: 0.3146, kb_relative_information_score: 160.7992, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6582, predictive_accuracy: 0.6573, prior_entropy: 1, recall: 0.6573, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.959, scimark_benchmark: 1267.1195, usercpu_time_millis: 152.22, usercpu_time_millis_testing: 5.922, usercpu_time_millis_training: 146.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.5888, kappa: 0.1777, kb_relative_information_score: 75.2149, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5889, predictive_accuracy: 0.5888, prior_entropy: 1, recall: 0.5888, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.492, root_relative_squared_error: 0.984, scimark_benchmark: 1264.5244, usercpu_time_millis: 17.45, usercpu_time_millis_testing: 1.438, usercpu_time_millis_training: 16.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7033, f_measure: 0.6352, kappa: 0.2708, kb_relative_information_score: 117.8901, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6356, predictive_accuracy: 0.6354, prior_entropy: 1, recall: 0.6354, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9701, scimark_benchmark: 1260.6754, usercpu_time_millis: 307.649, usercpu_time_millis_testing: 16.405, usercpu_time_millis_training: 291.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.5985, kappa: 0.1969, kb_relative_information_score: 29.1418, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9925, scimark_benchmark: 1249.621, usercpu_time_millis: 96.272, usercpu_time_millis_testing: 8.173, usercpu_time_millis_training: 88.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.6226, kappa: 0.2454, kb_relative_information_score: 102.7522, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6229, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.974, scimark_benchmark: 1258.78, usercpu_time_millis: 147.245, usercpu_time_millis_testing: 8.656, usercpu_time_millis_training: 138.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6455, f_measure: 0.6042, kappa: 0.2085, kb_relative_information_score: 19.8361, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6042, predictive_accuracy: 0.6042, prior_entropy: 1, recall: 0.6042, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9948, scimark_benchmark: 1254.2564, usercpu_time_millis: 19.381, usercpu_time_millis_testing: 1.88, usercpu_time_millis_training: 17.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6334, kappa: 0.2669, kb_relative_information_score: 90.0368, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6336, predictive_accuracy: 0.6335, prior_entropy: 1, recall: 0.6335, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.977, scimark_benchmark: 1280.235, usercpu_time_millis: 215.112, usercpu_time_millis_testing: 13.647, usercpu_time_millis_training: 201.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6211, kappa: 0.2423, kb_relative_information_score: 59.0582, mean_absolute_error: 0.4918, 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: 0.9836, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 1253.7651, usercpu_time_millis: 152.043, usercpu_time_millis_testing: 10.252, usercpu_time_millis_training: 141.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.6502, kappa: 0.3015, kb_relative_information_score: 140.343, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6517, predictive_accuracy: 0.6508, prior_entropy: 1, recall: 0.6508, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9647, scimark_benchmark: 1259.8101, usercpu_time_millis: 152.823, usercpu_time_millis_testing: 7.923, usercpu_time_millis_training: 144.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6461, f_measure: 0.6011, kappa: 0.2023, kb_relative_information_score: 83.5072, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6012, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9802, scimark_benchmark: 1257.0664, usercpu_time_millis: 21.32, usercpu_time_millis_testing: 1.67, usercpu_time_millis_training: 19.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6137, kappa: 0.2277, kb_relative_information_score: 83.7093, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.614, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9789, scimark_benchmark: 1256.9803, usercpu_time_millis: 180.603, usercpu_time_millis_testing: 10.734, usercpu_time_millis_training: 169.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.6793, kappa: 0.36, kb_relative_information_score: 218.9756, mean_absolute_error: 0.4679, 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: 0.9357, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9441, scimark_benchmark: 1264.5983, usercpu_time_millis: 341.496, usercpu_time_millis_testing: 12.926, usercpu_time_millis_training: 328.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.6458, kappa: 0.2923, kb_relative_information_score: 149.3854, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6467, predictive_accuracy: 0.6462, prior_entropy: 1, recall: 0.6462, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9621, scimark_benchmark: 1259.6069, usercpu_time_millis: 166.938, usercpu_time_millis_testing: 8.25, usercpu_time_millis_training: 158.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.6172, kappa: 0.2346, kb_relative_information_score: 99.7979, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6174, predictive_accuracy: 0.6173, prior_entropy: 1, recall: 0.6173, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9748, scimark_benchmark: 1266.0224, usercpu_time_millis: 79.539, usercpu_time_millis_testing: 4.901, usercpu_time_millis_training: 74.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6192, kappa: 0.2385, kb_relative_information_score: 103.1756, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6193, predictive_accuracy: 0.6192, prior_entropy: 1, recall: 0.6192, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.974, scimark_benchmark: 1237.6073, usercpu_time_millis: 20.379, usercpu_time_millis_testing: 1.549, usercpu_time_millis_training: 18.83,
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: 1254.3289, usercpu_time_millis: 10.298, usercpu_time_millis_testing: 1.236, usercpu_time_millis_training: 9.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.6217, kappa: 0.2438, kb_relative_information_score: 109.4402, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6222, predictive_accuracy: 0.6219, prior_entropy: 1, recall: 0.6219, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9723, scimark_benchmark: 1246.9914, usercpu_time_millis: 122.303, usercpu_time_millis_testing: 6.97, usercpu_time_millis_training: 115.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.6138, kappa: 0.2277, kb_relative_information_score: 72.0414, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6138, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9821, scimark_benchmark: 1257.4986, usercpu_time_millis: 56.215, usercpu_time_millis_testing: 3.971, usercpu_time_millis_training: 52.244,
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: 1271.4856, usercpu_time_millis: 20.492, usercpu_time_millis_testing: 2.006, usercpu_time_millis_training: 18.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6058, kappa: 0.2115, kb_relative_information_score: 54.3388, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6058, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.986, scimark_benchmark: 1251.5893, usercpu_time_millis: 76.963, usercpu_time_millis_testing: 5.87, usercpu_time_millis_training: 71.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.683, f_measure: 0.6337, kappa: 0.2677, kb_relative_information_score: 104.413, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6341, predictive_accuracy: 0.6338, prior_entropy: 1, recall: 0.6338, relative_absolute_error: 0.9703, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9741, scimark_benchmark: 1226.5638, usercpu_time_millis: 74.443, usercpu_time_millis_testing: 4.669, usercpu_time_millis_training: 69.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.6232, kappa: 0.2469, kb_relative_information_score: 70.7517, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6238, predictive_accuracy: 0.6235, prior_entropy: 1, recall: 0.6235, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9821, scimark_benchmark: 1262.7559, usercpu_time_millis: 102.604, usercpu_time_millis_testing: 7.244, usercpu_time_millis_training: 95.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.6164, kappa: 0.2331, kb_relative_information_score: 20.1593, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6167, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9947, scimark_benchmark: 1260.8558, usercpu_time_millis: 22.429, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 20.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.6219, kappa: 0.2438, kb_relative_information_score: 98.9202, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.622, predictive_accuracy: 0.6219, prior_entropy: 1, recall: 0.6219, relative_absolute_error: 0.9719, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9755, scimark_benchmark: 1242.7579, usercpu_time_millis: 37.79, usercpu_time_millis_testing: 2.124, usercpu_time_millis_training: 35.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.6188, kappa: 0.2377, kb_relative_information_score: 119.4769, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6188, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9717, scimark_benchmark: 1261.1402, usercpu_time_millis: 32.911, usercpu_time_millis_testing: 2.224, usercpu_time_millis_training: 30.687,
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: 0.6946, f_measure: 0.6298, kappa: 0.26, kb_relative_information_score: 120.7087, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6302, predictive_accuracy: 0.63, prior_entropy: 1, recall: 0.63, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1254.7506, usercpu_time_millis: 68.838, usercpu_time_millis_testing: 4.291, usercpu_time_millis_training: 64.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.6287, kappa: 0.2577, kb_relative_information_score: 110.5201, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6291, predictive_accuracy: 0.6288, prior_entropy: 1, recall: 0.6288, relative_absolute_error: 0.9684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9729, scimark_benchmark: 1267.7211, usercpu_time_millis: 27.654, usercpu_time_millis_testing: 2.02, usercpu_time_millis_training: 25.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.6305, kappa: 0.2615, kb_relative_information_score: 104.1316, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6311, predictive_accuracy: 0.6308, prior_entropy: 1, recall: 0.6308, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9735, scimark_benchmark: 1251.6311, usercpu_time_millis: 335.979, usercpu_time_millis_testing: 17.058, usercpu_time_millis_training: 318.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.6049, kappa: 0.21, kb_relative_information_score: 38.9917, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6051, predictive_accuracy: 0.605, prior_entropy: 1, recall: 0.605, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1268.8449, usercpu_time_millis: 179.41, usercpu_time_millis_testing: 13.411, usercpu_time_millis_training: 165.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.6596, kappa: 0.32, kb_relative_information_score: 171.2335, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6607, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4781, root_relative_squared_error: 0.9563, scimark_benchmark: 1266.1962, usercpu_time_millis: 244.856, usercpu_time_millis_testing: 10.662, usercpu_time_millis_training: 234.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.6054, kappa: 0.2108, kb_relative_information_score: 25.4936, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6054, predictive_accuracy: 0.6054, prior_entropy: 1, recall: 0.6054, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9933, scimark_benchmark: 1270.8982, usercpu_time_millis: 42.169, usercpu_time_millis_testing: 3.878, usercpu_time_millis_training: 38.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.6008, kappa: 0.2015, kb_relative_information_score: 49.8123, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6008, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9877, scimark_benchmark: 1253.4313, usercpu_time_millis: 9.851, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 8.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.6329, kappa: 0.2662, kb_relative_information_score: 132.9625, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6333, predictive_accuracy: 0.6331, prior_entropy: 1, recall: 0.6331, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9669, scimark_benchmark: 1234.447, usercpu_time_millis: 63.842, usercpu_time_millis_testing: 3.415, usercpu_time_millis_training: 60.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.6184, kappa: 0.2369, kb_relative_information_score: 88.1509, mean_absolute_error: 0.4876, 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: 0.9751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9778, scimark_benchmark: 1270.3448, usercpu_time_millis: 99.795, usercpu_time_millis_testing: 6.283, usercpu_time_millis_training: 93.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.6015, kappa: 0.2031, kb_relative_information_score: 11.3229, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6015, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4985, root_relative_squared_error: 0.997, scimark_benchmark: 1255.2233, usercpu_time_millis: 40.173, usercpu_time_millis_testing: 4.174, usercpu_time_millis_training: 35.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.6464, kappa: 0.2931, kb_relative_information_score: 146.617, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6468, predictive_accuracy: 0.6465, prior_entropy: 1, recall: 0.6465, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9627, scimark_benchmark: 1268.4586, usercpu_time_millis: 297.736, usercpu_time_millis_testing: 13.139, usercpu_time_millis_training: 284.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.5973, kappa: 0.1946, kb_relative_information_score: 58.1324, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5973, predictive_accuracy: 0.5973, prior_entropy: 1, recall: 0.5973, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.986, scimark_benchmark: 1244.0244, usercpu_time_millis: 23.571, usercpu_time_millis_testing: 1.911, usercpu_time_millis_training: 21.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.6416, kappa: 0.2838, kb_relative_information_score: 122.213, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6424, predictive_accuracy: 0.6419, prior_entropy: 1, recall: 0.6419, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.969, scimark_benchmark: 1258.9236, usercpu_time_millis: 271.661, usercpu_time_millis_testing: 12.526, usercpu_time_millis_training: 259.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.635, kappa: 0.2708, kb_relative_information_score: 124.3747, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6359, predictive_accuracy: 0.6354, prior_entropy: 1, recall: 0.6354, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9685, scimark_benchmark: 1246.7224, usercpu_time_millis: 253.348, usercpu_time_millis_testing: 13.202, usercpu_time_millis_training: 240.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.615, kappa: 0.23, kb_relative_information_score: 42.778, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.615, predictive_accuracy: 0.615, prior_entropy: 1, recall: 0.615, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9891, scimark_benchmark: 1264.0562, usercpu_time_millis: 225.407, usercpu_time_millis_testing: 16.807, usercpu_time_millis_training: 208.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6832, f_measure: 0.6123, kappa: 0.2246, kb_relative_information_score: 79.7223, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6123, predictive_accuracy: 0.6123, prior_entropy: 1, recall: 0.6123, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9798, scimark_benchmark: 1252.1835, usercpu_time_millis: 57.448, usercpu_time_millis_testing: 3.184, usercpu_time_millis_training: 54.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.5788, kappa: 0.1577, kb_relative_information_score: 44.0957, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5789, predictive_accuracy: 0.5788, prior_entropy: 1, recall: 0.5788, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9894, scimark_benchmark: 1263.6276, usercpu_time_millis: 32.053, usercpu_time_millis_testing: 2.701, usercpu_time_millis_training: 29.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6465, kappa: 0.2938, kb_relative_information_score: 140.3536, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6476, predictive_accuracy: 0.6469, prior_entropy: 1, recall: 0.6469, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9642, scimark_benchmark: 1272.3154, usercpu_time_millis: 302.53, usercpu_time_millis_testing: 12.709, usercpu_time_millis_training: 289.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.6476, kappa: 0.2962, kb_relative_information_score: 162.4471, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6489, predictive_accuracy: 0.6481, prior_entropy: 1, recall: 0.6481, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9587, scimark_benchmark: 1271.6103, usercpu_time_millis: 192.135, usercpu_time_millis_testing: 8.792, usercpu_time_millis_training: 183.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.6129, kappa: 0.2262, kb_relative_information_score: 40.5875, mean_absolute_error: 0.4944, 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: 0.9889, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9895, scimark_benchmark: 1273.3327, usercpu_time_millis: 45.864, usercpu_time_millis_testing: 3.687, usercpu_time_millis_training: 42.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.6359, kappa: 0.2723, kb_relative_information_score: 100.9192, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6365, predictive_accuracy: 0.6362, prior_entropy: 1, recall: 0.6362, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9744, scimark_benchmark: 1239.4036, usercpu_time_millis: 166.412, usercpu_time_millis_testing: 9.05, usercpu_time_millis_training: 157.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6056, kappa: 0.2115, kb_relative_information_score: 54.9985, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6059, predictive_accuracy: 0.6058, prior_entropy: 1, recall: 0.6058, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9861, scimark_benchmark: 1250.2266, usercpu_time_millis: 20.387, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 18.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6462, kappa: 0.2931, kb_relative_information_score: 136.5889, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6471, predictive_accuracy: 0.6465, prior_entropy: 1, recall: 0.6465, relative_absolute_error: 0.9609, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9653, scimark_benchmark: 1273.0494, usercpu_time_millis: 312.43, usercpu_time_millis_testing: 14.939, usercpu_time_millis_training: 297.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6146, kappa: 0.2292, kb_relative_information_score: 41.8983, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6146, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4946, root_relative_squared_error: 0.9892, scimark_benchmark: 1255.5037, usercpu_time_millis: 37.957, usercpu_time_millis_testing: 3.116, usercpu_time_millis_training: 34.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.6022, kappa: 0.2046, kb_relative_information_score: 51.7633, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6025, predictive_accuracy: 0.6023, prior_entropy: 1, recall: 0.6023, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9869, scimark_benchmark: 1265.9601, usercpu_time_millis: 13.89, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 12.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.6011, kappa: 0.2023, kb_relative_information_score: 23.5333, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6012, predictive_accuracy: 0.6012, prior_entropy: 1, recall: 0.6012, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9938, scimark_benchmark: 1269.4762, usercpu_time_millis: 27.725, usercpu_time_millis_testing: 2.711, usercpu_time_millis_training: 25.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.611, kappa: 0.2223, kb_relative_information_score: 55.1022, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6114, predictive_accuracy: 0.6112, prior_entropy: 1, recall: 0.6112, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9861, scimark_benchmark: 1268.4643, usercpu_time_millis: 91.329, usercpu_time_millis_testing: 6.497, usercpu_time_millis_training: 84.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, f_measure: 0.6008, kappa: 0.2015, kb_relative_information_score: 52.2382, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6008, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9866, scimark_benchmark: 1245.252, usercpu_time_millis: 17.749, usercpu_time_millis_testing: 1.6, usercpu_time_millis_training: 16.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.6447, kappa: 0.29, kb_relative_information_score: 138.3423, mean_absolute_error: 0.4802, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6455, predictive_accuracy: 0.645, prior_entropy: 1, recall: 0.645, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9648, scimark_benchmark: 1256.4578, usercpu_time_millis: 161, usercpu_time_millis_testing: 7.995, usercpu_time_millis_training: 153.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.6415, kappa: 0.2838, kb_relative_information_score: 132.6753, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6426, predictive_accuracy: 0.6419, prior_entropy: 1, recall: 0.6419, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9662, scimark_benchmark: 1243.5966, usercpu_time_millis: 194.809, usercpu_time_millis_testing: 8.016, usercpu_time_millis_training: 186.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.6023, kappa: 0.2046, kb_relative_information_score: 52.9096, mean_absolute_error: 0.4927, 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: 0.9853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9865, scimark_benchmark: 1262.378, usercpu_time_millis: 38.599, usercpu_time_millis_testing: 3.066, usercpu_time_millis_training: 35.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7255, f_measure: 0.652, kappa: 0.3046, kb_relative_information_score: 156.9298, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6528, predictive_accuracy: 0.6523, prior_entropy: 1, recall: 0.6523, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9601, scimark_benchmark: 1245.2458, usercpu_time_millis: 340.165, usercpu_time_millis_testing: 15.749, usercpu_time_millis_training: 324.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.6512, kappa: 0.3031, kb_relative_information_score: 130.8544, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6521, predictive_accuracy: 0.6515, prior_entropy: 1, recall: 0.6515, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9668, scimark_benchmark: 1254.2764, usercpu_time_millis: 266.391, usercpu_time_millis_testing: 11.981, usercpu_time_millis_training: 254.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.6496, kappa: 0.3, kb_relative_information_score: 154.4065, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6507, predictive_accuracy: 0.65, prior_entropy: 1, recall: 0.65, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9612, scimark_benchmark: 1274.1746, usercpu_time_millis: 85.495, usercpu_time_millis_testing: 4.477, usercpu_time_millis_training: 81.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.6027, kappa: 0.2054, kb_relative_information_score: 49.0604, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6027, predictive_accuracy: 0.6027, prior_entropy: 1, recall: 0.6027, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9874, scimark_benchmark: 1261.2961, usercpu_time_millis: 52.627, usercpu_time_millis_testing: 4.152, usercpu_time_millis_training: 48.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.6177, kappa: 0.2354, kb_relative_information_score: 49.1861, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6177, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9876, scimark_benchmark: 1254.2396, usercpu_time_millis: 109.484, usercpu_time_millis_testing: 8.714, usercpu_time_millis_training: 100.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.6172, kappa: 0.2346, kb_relative_information_score: 76.3152, mean_absolute_error: 0.4893, 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: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4905, root_relative_squared_error: 0.9811, scimark_benchmark: 1251.6063, usercpu_time_millis: 95.002, usercpu_time_millis_testing: 6.808, usercpu_time_millis_training: 88.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.6008, kappa: 0.2015, kb_relative_information_score: 39.3331, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6008, predictive_accuracy: 0.6008, prior_entropy: 1, recall: 0.6008, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99, scimark_benchmark: 1238.8783, usercpu_time_millis: 84.099, usercpu_time_millis_testing: 6.81, usercpu_time_millis_training: 77.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.5923, kappa: 0.1846, kb_relative_information_score: 28.4487, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5923, predictive_accuracy: 0.5923, prior_entropy: 1, recall: 0.5923, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9928, scimark_benchmark: 1243.415, usercpu_time_millis: 117.82, usercpu_time_millis_testing: 10.722, usercpu_time_millis_training: 107.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.5784, kappa: 0.1569, kb_relative_information_score: 38.5014, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5785, predictive_accuracy: 0.5785, prior_entropy: 1, recall: 0.5785, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9906, scimark_benchmark: 1239.2179, usercpu_time_millis: 10.254, usercpu_time_millis_testing: 1.006, usercpu_time_millis_training: 9.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5396, kappa: 0.08, kb_relative_information_score: 113.9077, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5401, predictive_accuracy: 0.54, prior_entropy: 1, recall: 0.54, relative_absolute_error: 0.9617, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5224, root_relative_squared_error: 1.0449, scimark_benchmark: 1284.6622, usercpu_time_millis: 9.526, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 8.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.6398, kappa: 0.28, kb_relative_information_score: 118.817, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6403, predictive_accuracy: 0.64, prior_entropy: 1, recall: 0.64, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1271.6789, usercpu_time_millis: 65.375, usercpu_time_millis_testing: 3.749, usercpu_time_millis_training: 61.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.6314, kappa: 0.2631, kb_relative_information_score: 110.631, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6317, predictive_accuracy: 0.6315, prior_entropy: 1, recall: 0.6315, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9717, scimark_benchmark: 1254.3073, usercpu_time_millis: 63.029, usercpu_time_millis_testing: 3.574, usercpu_time_millis_training: 59.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6406, kappa: 0.2815, kb_relative_information_score: 142.1037, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6411, predictive_accuracy: 0.6408, prior_entropy: 1, recall: 0.6408, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9653, scimark_benchmark: 1268.2782, usercpu_time_millis: 28.171, usercpu_time_millis_testing: 1.634, usercpu_time_millis_training: 26.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.6218, kappa: 0.2438, kb_relative_information_score: 96.5645, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6221, predictive_accuracy: 0.6219, prior_entropy: 1, recall: 0.6219, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9754, scimark_benchmark: 1281.8944, usercpu_time_millis: 93.329, usercpu_time_millis_testing: 5.506, usercpu_time_millis_training: 87.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.6442, kappa: 0.2892, kb_relative_information_score: 154.5696, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6452, predictive_accuracy: 0.6446, prior_entropy: 1, recall: 0.6446, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4806, root_relative_squared_error: 0.9611, scimark_benchmark: 1250.4327, usercpu_time_millis: 186.104, usercpu_time_millis_testing: 9.006, usercpu_time_millis_training: 177.098,
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: 0.6589, f_measure: 0.6038, kappa: 0.2077, kb_relative_information_score: 51.6411, mean_absolute_error: 0.4929, 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: 0.9857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9869, scimark_benchmark: 1237.0575, usercpu_time_millis: 14.226, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 13.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6225, kappa: 0.2454, kb_relative_information_score: 119.0787, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6229, predictive_accuracy: 0.6227, prior_entropy: 1, recall: 0.6227, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9698, scimark_benchmark: 1278.1662, usercpu_time_millis: 75.224, usercpu_time_millis_testing: 3.863, usercpu_time_millis_training: 71.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6188, kappa: 0.2377, kb_relative_information_score: 75.2065, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6189, predictive_accuracy: 0.6188, prior_entropy: 1, recall: 0.6188, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9812, scimark_benchmark: 1250.8787, usercpu_time_millis: 72.952, usercpu_time_millis_testing: 5.123, usercpu_time_millis_training: 67.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5796, f_measure: 0.5555, kappa: 0.1123, kb_relative_information_score: 89.3568, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5565, predictive_accuracy: 0.5562, prior_entropy: 1, recall: 0.5562, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9916, scimark_benchmark: 1254.0703, usercpu_time_millis: 15.826, usercpu_time_millis_testing: 1.504, usercpu_time_millis_training: 14.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.6558, kappa: 0.3123, kb_relative_information_score: 177.5381, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6569, predictive_accuracy: 0.6562, prior_entropy: 1, recall: 0.6562, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955, scimark_benchmark: 1274.4785, usercpu_time_millis: 258.301, usercpu_time_millis_testing: 9.784, usercpu_time_millis_training: 248.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6392, kappa: 0.2792, kb_relative_information_score: 141.3004, mean_absolute_error: 0.4797, 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: 0.9593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9643, scimark_benchmark: 1282.831, usercpu_time_millis: 38.387, usercpu_time_millis_testing: 2.179, usercpu_time_millis_training: 36.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.6619, kappa: 0.3246, kb_relative_information_score: 177.7035, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6631, predictive_accuracy: 0.6623, prior_entropy: 1, recall: 0.6623, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4775, root_relative_squared_error: 0.955, scimark_benchmark: 1265.3026, usercpu_time_millis: 224.261, usercpu_time_millis_testing: 9.02, usercpu_time_millis_training: 215.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.6096, kappa: 0.2192, kb_relative_information_score: 65.2859, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6096, predictive_accuracy: 0.6096, prior_entropy: 1, recall: 0.6096, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.492, root_relative_squared_error: 0.984, scimark_benchmark: 1276.3414, usercpu_time_millis: 68.355, usercpu_time_millis_testing: 4.961, usercpu_time_millis_training: 63.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.6104, kappa: 0.2208, kb_relative_information_score: 41.3011, mean_absolute_error: 0.4943, 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: 0.9887, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9893, scimark_benchmark: 1257.3019, usercpu_time_millis: 45.966, usercpu_time_millis_testing: 4.022, usercpu_time_millis_training: 41.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.6354, kappa: 0.2715, kb_relative_information_score: 123.8224, mean_absolute_error: 0.4823, 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: 0.9647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9685, scimark_benchmark: 1274.1776, usercpu_time_millis: 174.579, usercpu_time_millis_testing: 9.082, usercpu_time_millis_training: 165.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.6412, kappa: 0.2831, kb_relative_information_score: 136.9543, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6421, predictive_accuracy: 0.6415, prior_entropy: 1, recall: 0.6415, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9652, scimark_benchmark: 1252.8624, usercpu_time_millis: 325.619, usercpu_time_millis_testing: 16.836, usercpu_time_millis_training: 308.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6782, f_measure: 0.6073, kappa: 0.2146, kb_relative_information_score: 70.1023, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6073, predictive_accuracy: 0.6073, prior_entropy: 1, recall: 0.6073, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9822, scimark_benchmark: 1255.9441, usercpu_time_millis: 73.746, usercpu_time_millis_testing: 4.848, usercpu_time_millis_training: 68.898,

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