OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8304, kappa: 0.6608, kb_relative_information_score: 1034.1825, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8306, predictive_accuracy: 0.8304, prior_entropy: 1, recall: 0.8304, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.7407, scimark_benchmark: 1774.5793, usercpu_time_millis: 1897.661, usercpu_time_millis_testing: 2.522, usercpu_time_millis_training: 1895.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 1241.4186, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8466, predictive_accuracy: 0.8465, prior_entropy: 1, recall: 0.8465, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.6989, scimark_benchmark: 1750.833, usercpu_time_millis: 2111.313, usercpu_time_millis_testing: 2.366, usercpu_time_millis_training: 2108.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.691, kappa: 0.3854, kb_relative_information_score: 385.1537, mean_absolute_error: 0.4394, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6971, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9129, scimark_benchmark: 1856.125, usercpu_time_millis: 30.073, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 29.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 951.9699, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8241, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.6809, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.7596, scimark_benchmark: 1814.8133, usercpu_time_millis: 122.399, usercpu_time_millis_testing: 0.39, usercpu_time_millis_training: 122.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.7906, kappa: 0.5823, kb_relative_information_score: 697.1839, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7941, predictive_accuracy: 0.7912, prior_entropy: 1, recall: 0.7912, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8214, scimark_benchmark: 1756.8653, usercpu_time_millis: 173.488, usercpu_time_millis_testing: 1.356, usercpu_time_millis_training: 172.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8346, kappa: 0.6692, kb_relative_information_score: 1029.8982, mean_absolute_error: 0.3257, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8348, predictive_accuracy: 0.8346, prior_entropy: 1, recall: 0.8346, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7419, scimark_benchmark: 1817.9918, usercpu_time_millis: 292.509, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 291.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7462, kappa: 0.4954, kb_relative_information_score: 591.4656, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7538, predictive_accuracy: 0.7477, prior_entropy: 1, recall: 0.7477, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.857, scimark_benchmark: 1770.4224, usercpu_time_millis: 417.316, usercpu_time_millis_testing: 1.407, usercpu_time_millis_training: 415.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8133, kappa: 0.6269, kb_relative_information_score: 793.9742, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8149, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7957, scimark_benchmark: 1765.8723, usercpu_time_millis: 656.828, usercpu_time_millis_testing: 2.633, usercpu_time_millis_training: 654.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7671, kappa: 0.5362, kb_relative_information_score: 677.537, mean_absolute_error: 0.3895, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7725, predictive_accuracy: 0.7681, prior_entropy: 1, recall: 0.7681, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8345, scimark_benchmark: 1768.3932, usercpu_time_millis: 798.316, usercpu_time_millis_testing: 1.754, usercpu_time_millis_training: 796.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8434, kappa: 0.6869, kb_relative_information_score: 1056.463, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8437, predictive_accuracy: 0.8435, prior_entropy: 1, recall: 0.8435, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7276, scimark_benchmark: 1770.2866, usercpu_time_millis: 862.922, usercpu_time_millis_testing: 1.894, usercpu_time_millis_training: 861.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.82, kappa: 0.64, kb_relative_information_score: 986.3104, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7562, scimark_benchmark: 1760.2783, usercpu_time_millis: 1049.393, usercpu_time_millis_testing: 1.617, usercpu_time_millis_training: 1047.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8269, kappa: 0.6538, kb_relative_information_score: 1055.8718, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8274, predictive_accuracy: 0.8269, prior_entropy: 1, recall: 0.8269, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7403, scimark_benchmark: 1719.8181, usercpu_time_millis: 1080.612, usercpu_time_millis_testing: 1.889, usercpu_time_millis_training: 1078.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 1056.1401, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.838, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.7316, scimark_benchmark: 1766.8128, usercpu_time_millis: 1796.133, usercpu_time_millis_testing: 2.613, usercpu_time_millis_training: 1793.52,
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: 1755.1467, usercpu_time_millis: 4.29, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 3.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4792, 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: 1767.1277, usercpu_time_millis: 4.353, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 3.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.6909, kappa: 0.3854, kb_relative_information_score: 385.3877, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6973, predictive_accuracy: 0.6927, prior_entropy: 1, recall: 0.6927, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9148, scimark_benchmark: 1728.3855, usercpu_time_millis: 28.427, usercpu_time_millis_testing: 0.54, usercpu_time_millis_training: 27.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7766, f_measure: 0.6992, kappa: 0.4, kb_relative_information_score: 319.9135, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7023, predictive_accuracy: 0.7, prior_entropy: 1, recall: 0.7, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9197, scimark_benchmark: 1770.2386, usercpu_time_millis: 35.108, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 34.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7245, kappa: 0.4523, kb_relative_information_score: 564.4837, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7317, predictive_accuracy: 0.7262, prior_entropy: 1, recall: 0.7262, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8721, scimark_benchmark: 1773.0448, usercpu_time_millis: 55.354, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 54.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.788, kappa: 0.5769, kb_relative_information_score: 788.7652, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7908, predictive_accuracy: 0.7885, prior_entropy: 1, recall: 0.7885, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.809, scimark_benchmark: 1775.5682, usercpu_time_millis: 171.001, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 170.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 901.5348, mean_absolute_error: 0.3512, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8364, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3826, root_relative_squared_error: 0.7653, scimark_benchmark: 1769.1905, usercpu_time_millis: 241.56, usercpu_time_millis_testing: 0.877, usercpu_time_millis_training: 240.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8268, kappa: 0.6538, kb_relative_information_score: 1094.9591, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8277, predictive_accuracy: 0.8269, prior_entropy: 1, recall: 0.8269, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7351, scimark_benchmark: 1819.9831, usercpu_time_millis: 283.464, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 282.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7361, kappa: 0.4762, kb_relative_information_score: 551.1752, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7454, predictive_accuracy: 0.7381, prior_entropy: 1, recall: 0.7381, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8706, scimark_benchmark: 1762.1882, usercpu_time_millis: 409.358, usercpu_time_millis_testing: 1.301, usercpu_time_millis_training: 408.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6307, kappa: 0.2615, kb_relative_information_score: 284.8369, mean_absolute_error: 0.4546, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6309, predictive_accuracy: 0.6308, prior_entropy: 1, recall: 0.6308, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9509, scimark_benchmark: 1851.9456, usercpu_time_millis: 5.101, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 4.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.6035, kappa: 0.2077, kb_relative_information_score: 104.4458, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6042, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9754, scimark_benchmark: 1747.381, usercpu_time_millis: 16.693, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 15.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7398, kappa: 0.4823, kb_relative_information_score: 513.3175, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7461, predictive_accuracy: 0.7412, prior_entropy: 1, recall: 0.7412, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8733, scimark_benchmark: 1812.7921, usercpu_time_millis: 20.61, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 20.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.6155, kappa: 0.2315, kb_relative_information_score: 186.4892, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6161, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9706, scimark_benchmark: 1776.3045, usercpu_time_millis: 71.302, usercpu_time_millis_testing: 0.805, usercpu_time_millis_training: 70.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, f_measure: 0.7511, kappa: 0.5046, kb_relative_information_score: 575.4821, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7575, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8574, scimark_benchmark: 1851.1055, usercpu_time_millis: 95.521, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 94.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7558, kappa: 0.5138, kb_relative_information_score: 623.8322, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7617, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8448, scimark_benchmark: 1769.675, usercpu_time_millis: 114.08, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 113.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.6752, kappa: 0.3577, kb_relative_information_score: 414.1167, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6872, predictive_accuracy: 0.6788, prior_entropy: 1, recall: 0.6788, relative_absolute_error: 0.8674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9152, scimark_benchmark: 1752.0241, usercpu_time_millis: 189.31, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 188.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8037, kappa: 0.6077, kb_relative_information_score: 798.5803, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.805, predictive_accuracy: 0.8038, prior_entropy: 1, recall: 0.8038, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8015, scimark_benchmark: 1777.3783, usercpu_time_millis: 216.286, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 215.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.7139, kappa: 0.4323, kb_relative_information_score: 441.9007, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7233, predictive_accuracy: 0.7162, prior_entropy: 1, recall: 0.7162, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.8978, scimark_benchmark: 1768.2133, usercpu_time_millis: 328.091, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 326.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8835, f_measure: 0.8138, kappa: 0.6277, kb_relative_information_score: 900.6048, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8142, predictive_accuracy: 0.8138, prior_entropy: 1, recall: 0.8138, relative_absolute_error: 0.6975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7784, scimark_benchmark: 1855.2179, usercpu_time_millis: 399.634, usercpu_time_millis_testing: 0.852, usercpu_time_millis_training: 398.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6589, f_measure: 0.6122, kappa: 0.2246, kb_relative_information_score: 179.2311, mean_absolute_error: 0.4732, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6124, predictive_accuracy: 0.6123, prior_entropy: 1, recall: 0.6123, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.483, root_relative_squared_error: 0.966, scimark_benchmark: 1092.5757, usercpu_time_millis: 30.84, usercpu_time_millis_testing: 0.752, usercpu_time_millis_training: 30.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6463, kappa: 0.2938, kb_relative_information_score: 206.6293, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6479, predictive_accuracy: 0.6469, prior_entropy: 1, recall: 0.6469, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9481, scimark_benchmark: 1144.5765, usercpu_time_millis: 67.271, usercpu_time_millis_testing: 2.896, usercpu_time_millis_training: 64.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 186.664, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9713, scimark_benchmark: 1045.8196, usercpu_time_millis: 146.434, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 144.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.7447, kappa: 0.4915, kb_relative_information_score: 612.431, mean_absolute_error: 0.3998, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7499, predictive_accuracy: 0.7458, prior_entropy: 1, recall: 0.7458, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8539, scimark_benchmark: 1085.7928, usercpu_time_millis: 351.94, usercpu_time_millis_testing: 1.893, usercpu_time_millis_training: 350.047,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 1053.3741, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8397, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.7318, scimark_benchmark: 1823.9331, usercpu_time_millis: 297.099, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 296.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8214, kappa: 0.6431, kb_relative_information_score: 831.5706, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8224, predictive_accuracy: 0.8215, prior_entropy: 1, recall: 0.8215, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.392, root_relative_squared_error: 0.7841, scimark_benchmark: 1833.265, usercpu_time_millis: 367.841, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 366.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.833, kappa: 0.6662, kb_relative_information_score: 995.3544, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8333, predictive_accuracy: 0.8331, prior_entropy: 1, recall: 0.8331, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7475, scimark_benchmark: 1836.8952, usercpu_time_millis: 927.293, usercpu_time_millis_testing: 1.331, usercpu_time_millis_training: 925.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.7794, kappa: 0.56, kb_relative_information_score: 684.6617, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7831, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8272, scimark_benchmark: 1844.2676, usercpu_time_millis: 426.849, usercpu_time_millis_testing: 1.802, usercpu_time_millis_training: 425.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8465, kappa: 0.6931, kb_relative_information_score: 1075.3223, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8467, predictive_accuracy: 0.8465, prior_entropy: 1, recall: 0.8465, relative_absolute_error: 0.6359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7232, scimark_benchmark: 1852.9259, usercpu_time_millis: 1073.314, usercpu_time_millis_testing: 2.835, usercpu_time_millis_training: 1070.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7081, kappa: 0.4162, kb_relative_information_score: 870.8285, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7081, predictive_accuracy: 0.7081, prior_entropy: 1, recall: 0.7081, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.455, root_relative_squared_error: 0.91, scimark_benchmark: 1842.8772, usercpu_time_millis: 3.999, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 3.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1844.7928, usercpu_time_millis: 3.6, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 3.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.6165, kappa: 0.2331, kb_relative_information_score: 249.8156, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6166, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9475, scimark_benchmark: 1852.5406, usercpu_time_millis: 6.904, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 6.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7251, kappa: 0.4538, kb_relative_information_score: 423.3019, mean_absolute_error: 0.4339, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7331, predictive_accuracy: 0.7269, prior_entropy: 1, recall: 0.7269, relative_absolute_error: 0.8678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.8968, scimark_benchmark: 1853.9121, usercpu_time_millis: 16.883, usercpu_time_millis_testing: 0.371, usercpu_time_millis_training: 16.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.6547, kappa: 0.3123, kb_relative_information_score: 289.9029, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6587, predictive_accuracy: 0.6562, prior_entropy: 1, recall: 0.6562, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9348, scimark_benchmark: 1839.282, usercpu_time_millis: 40.783, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 40.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.6864, kappa: 0.3769, kb_relative_information_score: 375.2413, mean_absolute_error: 0.4407, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6935, predictive_accuracy: 0.6885, prior_entropy: 1, recall: 0.6885, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9201, scimark_benchmark: 1837.8616, usercpu_time_millis: 47.84, usercpu_time_millis_testing: 0.553, usercpu_time_millis_training: 47.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.6746, kappa: 0.3538, kb_relative_information_score: 356.6062, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6821, predictive_accuracy: 0.6769, prior_entropy: 1, recall: 0.6769, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9218, scimark_benchmark: 1850.9434, usercpu_time_millis: 59.031, usercpu_time_millis_testing: 0.829, usercpu_time_millis_training: 58.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7382, f_measure: 0.6617, kappa: 0.3262, kb_relative_information_score: 282.5159, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6658, predictive_accuracy: 0.6631, prior_entropy: 1, recall: 0.6631, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9325, scimark_benchmark: 1751.4527, usercpu_time_millis: 73.539, usercpu_time_millis_testing: 1.08, usercpu_time_millis_training: 72.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.6657, kappa: 0.3392, kb_relative_information_score: 340.8535, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6781, predictive_accuracy: 0.6696, prior_entropy: 1, recall: 0.6696, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9263, scimark_benchmark: 1827.3632, usercpu_time_millis: 87.534, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 86.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.7329, kappa: 0.4692, kb_relative_information_score: 479.7124, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7409, predictive_accuracy: 0.7346, prior_entropy: 1, recall: 0.7346, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8813, scimark_benchmark: 1849.3014, usercpu_time_millis: 101.095, usercpu_time_millis_testing: 1.437, usercpu_time_millis_training: 99.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, f_measure: 0.7217, kappa: 0.4438, kb_relative_information_score: 650.0242, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7226, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8594, scimark_benchmark: 1850.4554, usercpu_time_millis: 139.103, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 138.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8357, kappa: 0.6715, kb_relative_information_score: 1073.6286, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8361, predictive_accuracy: 0.8358, prior_entropy: 1, recall: 0.8358, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7341, scimark_benchmark: 1747.3857, usercpu_time_millis: 158.844, usercpu_time_millis_testing: 0.382, usercpu_time_millis_training: 158.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8496, kappa: 0.6992, kb_relative_information_score: 1394.7266, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8497, predictive_accuracy: 0.8496, prior_entropy: 1, recall: 0.8496, relative_absolute_error: 0.499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6743, scimark_benchmark: 1819.8588, usercpu_time_millis: 2683.859, usercpu_time_millis_testing: 2.659, usercpu_time_millis_training: 2681.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7296, kappa: 0.4631, kb_relative_information_score: 516.9787, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7384, predictive_accuracy: 0.7315, prior_entropy: 1, recall: 0.7315, relative_absolute_error: 0.8329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8801, scimark_benchmark: 1758.5013, usercpu_time_millis: 352.272, usercpu_time_millis_testing: 1.491, usercpu_time_millis_training: 350.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8396, kappa: 0.6792, kb_relative_information_score: 975.6328, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8399, predictive_accuracy: 0.8396, prior_entropy: 1, recall: 0.8396, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7476, scimark_benchmark: 1839.282, usercpu_time_millis: 790.564, usercpu_time_millis_testing: 2.514, usercpu_time_millis_training: 788.05,
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: 1801.8313, usercpu_time_millis: 2.998, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 2.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.6978, kappa: 0.3992, kb_relative_information_score: 366.5051, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7044, predictive_accuracy: 0.6996, prior_entropy: 1, recall: 0.6996, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9113, scimark_benchmark: 1854.1097, usercpu_time_millis: 21.685, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 21.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.6146, kappa: 0.2292, kb_relative_information_score: 238.6339, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6147, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.953, scimark_benchmark: 1844.4224, usercpu_time_millis: 27.852, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 27.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.642, kappa: 0.2892, kb_relative_information_score: 281.6398, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.649, predictive_accuracy: 0.6446, prior_entropy: 1, recall: 0.6446, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9455, scimark_benchmark: 1848.5692, usercpu_time_millis: 37.891, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 37.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.6692, kappa: 0.3415, kb_relative_information_score: 330.4071, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6741, predictive_accuracy: 0.6708, prior_entropy: 1, recall: 0.6708, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9268, scimark_benchmark: 1811.579, usercpu_time_millis: 91.295, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 90.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8369, kappa: 0.6738, kb_relative_information_score: 1031.1867, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8372, predictive_accuracy: 0.8369, prior_entropy: 1, recall: 0.8369, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7367, scimark_benchmark: 1837.8616, usercpu_time_millis: 127.127, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 126.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.7309, kappa: 0.4646, kb_relative_information_score: 406.5984, mean_absolute_error: 0.4374, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7372, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.8976, scimark_benchmark: 1794.6194, usercpu_time_millis: 153.755, usercpu_time_millis_testing: 2.428, usercpu_time_millis_training: 151.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8133, kappa: 0.6269, kb_relative_information_score: 863.1945, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8143, predictive_accuracy: 0.8135, prior_entropy: 1, recall: 0.8135, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7851, scimark_benchmark: 1841.7343, usercpu_time_millis: 305.4, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 304.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8446, kappa: 0.6892, kb_relative_information_score: 1286.0648, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8447, predictive_accuracy: 0.8446, prior_entropy: 1, recall: 0.8446, relative_absolute_error: 0.5466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.347, root_relative_squared_error: 0.694, scimark_benchmark: 1821.9404, usercpu_time_millis: 429.252, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 428.514,

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