OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 14951 Supervised Classification eeg-eye-state 66579 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4789, f_measure: 0.3917, kb_relative_information_score: -1.5087, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1296.1763, usercpu_time_millis: 167.47, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 167.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4808, f_measure: 0.3917, kb_relative_information_score: -1.3355, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1258.1309, usercpu_time_millis: 175.629, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 175.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.8265, kappa: 0.6488, kb_relative_information_score: 6928.9946, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8269, predictive_accuracy: 0.827, prior_entropy: 0.9924, recall: 0.827, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.716, scimark_benchmark: 1266.0945, usercpu_time_millis: 51.817, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 51.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7528, kappa: 0.4991, kb_relative_information_score: 3598.8589, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7549, predictive_accuracy: 0.7548, prior_entropy: 0.9924, recall: 0.7548, relative_absolute_error: 0.7965, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.85, scimark_benchmark: 1297.1982, usercpu_time_millis: 293.519, usercpu_time_millis_testing: 3.752, usercpu_time_millis_training: 289.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 3.0248, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9999, scimark_benchmark: 1265.284, usercpu_time_millis: 119.811, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 119.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 52.2044, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9976, scimark_benchmark: 1290.583, usercpu_time_millis: 481.354, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 481.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, f_measure: 0.76, kappa: 0.5138, kb_relative_information_score: 4315.2721, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7607, predictive_accuracy: 0.7611, prior_entropy: 0.9924, recall: 0.7611, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8284, scimark_benchmark: 1256.6064, usercpu_time_millis: 78.158, usercpu_time_millis_testing: 1.24, usercpu_time_millis_training: 76.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4731, f_measure: 0.3917, kb_relative_information_score: -2.2769, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1214.5738, usercpu_time_millis: 84.975, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 84.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7546, kappa: 0.5027, kb_relative_information_score: 4133.9364, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7558, predictive_accuracy: 0.7561, prior_entropy: 0.9924, recall: 0.7561, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8361, scimark_benchmark: 1229.4495, usercpu_time_millis: 77.501, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 76.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.3917, kb_relative_information_score: 189.7388, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9882, scimark_benchmark: 1297.9409, usercpu_time_millis: 184.828, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 183.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3917, kb_relative_information_score: -0.5138, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1240.3199, usercpu_time_millis: 88.397, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 88.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5147, f_measure: 0.3917, kb_relative_information_score: 0.0514, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1296.9694, usercpu_time_millis: 233.592, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 233.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.3941, kappa: 0.0024, kb_relative_information_score: 94.5291, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.703, predictive_accuracy: 0.5521, prior_entropy: 0.9924, recall: 0.5521, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9957, scimark_benchmark: 1294.3525, usercpu_time_millis: 259.316, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 259.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 63.7345, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9971, scimark_benchmark: 1273.2286, usercpu_time_millis: 443.43, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 443.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 70.3453, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9968, scimark_benchmark: 1227.7427, usercpu_time_millis: 354.701, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 354.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 74.099, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9966, scimark_benchmark: 1250.05, usercpu_time_millis: 362.539, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 362.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8244, kappa: 0.6443, kb_relative_information_score: 4350.4987, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8301, predictive_accuracy: 0.8264, prior_entropy: 0.9924, recall: 0.8264, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7955, scimark_benchmark: 1293.6283, usercpu_time_millis: 876.625, usercpu_time_millis_testing: 11.208, usercpu_time_millis_training: 865.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 13.1844, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9994, scimark_benchmark: 1221.7199, usercpu_time_millis: 119.952, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 119.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7605, kappa: 0.5147, kb_relative_information_score: 4101.3032, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7624, predictive_accuracy: 0.7623, prior_entropy: 0.9924, recall: 0.7623, relative_absolute_error: 0.7637, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8316, scimark_benchmark: 1229.2912, usercpu_time_millis: 564.375, usercpu_time_millis_testing: 10.043, usercpu_time_millis_training: 554.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6176, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 46.1806, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9979, scimark_benchmark: 1224.7023, usercpu_time_millis: 442.851, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 442.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 17.7261, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9992, scimark_benchmark: 1223.6369, usercpu_time_millis: 570.458, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 570.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.3922, kappa: 0.0005, kb_relative_information_score: 284.2753, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7527, predictive_accuracy: 0.5514, prior_entropy: 0.9924, recall: 0.5514, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9857, scimark_benchmark: 1293.0907, usercpu_time_millis: 522.879, usercpu_time_millis_testing: 5.614, usercpu_time_millis_training: 517.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.3917, kb_relative_information_score: 0.5173, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1278.1044, usercpu_time_millis: 104.797, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 104.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.4036, kappa: 0.012, kb_relative_information_score: 168.5224, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.701, predictive_accuracy: 0.5559, prior_entropy: 0.9924, recall: 0.5559, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9924, scimark_benchmark: 1299.1421, usercpu_time_millis: 410.815, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 410.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9484, kappa: 0.8957, kb_relative_information_score: 12957.5721, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9485, predictive_accuracy: 0.9485, prior_entropy: 0.9924, recall: 0.9485, relative_absolute_error: 0.1421, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4009, scimark_benchmark: 1269.211, usercpu_time_millis: 894.473, usercpu_time_millis_testing: 12.972, usercpu_time_millis_training: 881.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.3917, kb_relative_information_score: -179.0546, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0026, scimark_benchmark: 1243.5884, usercpu_time_millis: 109.632, usercpu_time_millis_testing: 1.101, usercpu_time_millis_training: 108.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, f_measure: 0.3917, kb_relative_information_score: 0.3155, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1261.8977, usercpu_time_millis: 443.727, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 443.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.7036, kappa: 0.401, kb_relative_information_score: 1686.9561, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.713, predictive_accuracy: 0.7099, prior_entropy: 0.9924, recall: 0.7099, relative_absolute_error: 0.9114, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9278, scimark_benchmark: 1223.1695, usercpu_time_millis: 164.303, usercpu_time_millis_testing: 1.458, usercpu_time_millis_training: 162.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8168, kappa: 0.6289, kb_relative_information_score: 6722.7248, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8176, predictive_accuracy: 0.8176, prior_entropy: 0.9924, recall: 0.8176, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7306, scimark_benchmark: 1217.3752, usercpu_time_millis: 578.425, usercpu_time_millis_testing: 9.994, usercpu_time_millis_training: 568.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.8451, kappa: 0.6861, kb_relative_information_score: 6435.8953, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.848, predictive_accuracy: 0.8463, prior_entropy: 0.9924, recall: 0.8463, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7077, scimark_benchmark: 1248.7834, usercpu_time_millis: 397.003, usercpu_time_millis_testing: 8.3, usercpu_time_millis_training: 388.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9092, kappa: 0.8161, kb_relative_information_score: 9908.6827, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9095, predictive_accuracy: 0.9093, prior_entropy: 0.9924, recall: 0.9093, relative_absolute_error: 0.3741, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.537, scimark_benchmark: 1268.541, usercpu_time_millis: 632.543, usercpu_time_millis_testing: 12.232, usercpu_time_millis_training: 620.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 16.8902, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9993, scimark_benchmark: 1251.3461, usercpu_time_millis: 545.946, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 545.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.555, f_measure: 0.3917, kb_relative_information_score: 0.6929, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1287.6356, usercpu_time_millis: 376.934, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 376.896,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 44.0925, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.998, scimark_benchmark: 1270.3387, usercpu_time_millis: 200.479, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 200.442,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 3.3834, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9999, scimark_benchmark: 1293.7957, usercpu_time_millis: 226.581, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 226.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.5185, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9999, scimark_benchmark: 1273.2523, usercpu_time_millis: 427.709, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 427.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.7553, kappa: 0.504, kb_relative_information_score: 3969.6139, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7571, predictive_accuracy: 0.7571, prior_entropy: 0.9924, recall: 0.7571, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8375, scimark_benchmark: 1256.9836, usercpu_time_millis: 260.537, usercpu_time_millis_testing: 4.628, usercpu_time_millis_training: 255.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6175, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 7.3929, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9997, scimark_benchmark: 1259.5597, usercpu_time_millis: 455.758, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 455.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: 0.9936, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9999, scimark_benchmark: 1291.1491, usercpu_time_millis: 235.068, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 234.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.3917, kb_relative_information_score: 0.5259, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1266.182, usercpu_time_millis: 332.894, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 332.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.7366, kappa: 0.4663, kb_relative_information_score: 3345.8852, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.739, predictive_accuracy: 0.739, prior_entropy: 0.9924, recall: 0.739, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.8654, scimark_benchmark: 1297.0247, usercpu_time_millis: 970.802, usercpu_time_millis_testing: 15.836, usercpu_time_millis_training: 954.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6134, f_measure: 0.3966, kappa: 0.0051, kb_relative_information_score: 95.5255, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7276, predictive_accuracy: 0.5533, prior_entropy: 0.9924, recall: 0.5533, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9956, scimark_benchmark: 1270.4866, usercpu_time_millis: 445.778, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 445.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5577, f_measure: 0.3917, kb_relative_information_score: 0.7307, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1270.2299, usercpu_time_millis: 440.348, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 440.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8813, kappa: 0.7596, kb_relative_information_score: 8416.8911, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8818, predictive_accuracy: 0.8816, prior_entropy: 0.9924, recall: 0.8816, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.6162, scimark_benchmark: 1299.7329, usercpu_time_millis: 777.272, usercpu_time_millis_testing: 13.787, usercpu_time_millis_training: 763.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.5889, kappa: 0.2114, kb_relative_information_score: -119.5369, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6617, predictive_accuracy: 0.6316, prior_entropy: 0.9924, recall: 0.6316, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9999, scimark_benchmark: 1291.8706, usercpu_time_millis: 44.759, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 44.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.485, f_measure: 0.3917, kb_relative_information_score: -0.9022, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1277.4612, usercpu_time_millis: 247.715, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 247.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 16.9487, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9992, scimark_benchmark: 1262.7121, usercpu_time_millis: 164.509, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 164.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: 17.8506, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9992, scimark_benchmark: 1278.0284, usercpu_time_millis: 37.156, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 37.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.4242, kappa: 0.0334, kb_relative_information_score: 205.7457, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7035, predictive_accuracy: 0.5645, prior_entropy: 0.9924, recall: 0.5645, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9908, scimark_benchmark: 1293.4317, usercpu_time_millis: 407.914, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 407.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 11.2938, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9995, scimark_benchmark: 1268.051, usercpu_time_millis: 418.764, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 418.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: 27.0054, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9988, scimark_benchmark: 1261.3077, usercpu_time_millis: 90.363, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 90.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6148, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 8.0486, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9996, scimark_benchmark: 1292.5952, usercpu_time_millis: 41.146, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 41.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 2.4261, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9999, scimark_benchmark: 1272.6163, usercpu_time_millis: 71.46, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 71.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, f_measure: 0.3917, kb_relative_information_score: -240.2619, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0053, scimark_benchmark: 1277.7502, usercpu_time_millis: 681.674, usercpu_time_millis_testing: 4.807, usercpu_time_millis_training: 676.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9093, kappa: 0.8165, kb_relative_information_score: 10309.5005, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9095, predictive_accuracy: 0.9095, prior_entropy: 0.9924, recall: 0.9095, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.5251, scimark_benchmark: 1269.9788, usercpu_time_millis: 686.357, usercpu_time_millis_testing: 11.385, usercpu_time_millis_training: 674.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.3917, kb_relative_information_score: -43.0471, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9976, scimark_benchmark: 1291.2812, usercpu_time_millis: 478.397, usercpu_time_millis_testing: 4.83, usercpu_time_millis_training: 473.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 28.6458, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9987, scimark_benchmark: 1276.7491, usercpu_time_millis: 169.6, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 169.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.3917, kappa: -0.0001, kb_relative_information_score: 0.3045, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5511, prior_entropy: 0.9924, recall: 0.5511, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1295.1382, usercpu_time_millis: 18.962, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 18.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6154, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 5.9479, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9998, scimark_benchmark: 1297.6549, usercpu_time_millis: 274.253, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 274.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5994, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 1.2704, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9999, scimark_benchmark: 1282.5189, usercpu_time_millis: 329.825, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 329.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.4142, kappa: 0.0232, kb_relative_information_score: 189.4224, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7114, predictive_accuracy: 0.5605, prior_entropy: 0.9924, recall: 0.5605, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9915, scimark_benchmark: 1286.3394, usercpu_time_millis: 554.508, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 554.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4722, f_measure: 0.3917, kb_relative_information_score: -2.8279, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1290.9408, usercpu_time_millis: 3.29, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 3.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.537, f_measure: 0.3917, kb_relative_information_score: 0.4285, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.3038, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, scimark_benchmark: 1295.7883, usercpu_time_millis: 307.508, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 307.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6122, f_measure: 0.3986, kappa: 0.007, kb_relative_information_score: 142.4623, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7103, predictive_accuracy: 0.554, prior_entropy: 0.9924, recall: 0.554, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9936, scimark_benchmark: 1282.3706, usercpu_time_millis: 333.103, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 333.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 7.7644, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, recall: 0.5512, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9997, scimark_benchmark: 1270.8049, usercpu_time_millis: 227.973, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 227.936,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs