Task
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: 0.8588, f_measure: 0.7899, kappa: 0.58, kb_relative_information_score: 806.737, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8091, scimark_benchmark: 1380.4405, usercpu_time_millis: 54.76, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 54.5,
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: 1414.7257, usercpu_time_millis: 4.71, usercpu_time_millis_testing: 0.74, usercpu_time_millis_training: 3.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.6168, kappa: 0.2338, kb_relative_information_score: 273.7624, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6169, prior_entropy: 1, recall: 0.6169, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9444, scimark_benchmark: 1391.768, usercpu_time_millis: 43.24, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 42.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8296, kappa: 0.6592, kb_relative_information_score: 909.34, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8301, predictive_accuracy: 0.8296, prior_entropy: 1, recall: 0.8296, relative_absolute_error: 0.6978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.384, root_relative_squared_error: 0.768, scimark_benchmark: 1307.8129, usercpu_time_millis: 578.93, usercpu_time_millis_testing: 1.89, usercpu_time_millis_training: 577.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6502, kappa: 0.3008, kb_relative_information_score: 160.5071, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6506, predictive_accuracy: 0.6504, prior_entropy: 1, recall: 0.6504, relative_absolute_error: 0.9535, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9594, scimark_benchmark: 1404.6067, usercpu_time_millis: 64.73, usercpu_time_millis_testing: 2.67, usercpu_time_millis_training: 62.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8615, kappa: 0.7231, kb_relative_information_score: 1363.916, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8616, predictive_accuracy: 0.8615, prior_entropy: 1, recall: 0.8615, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.6631, scimark_benchmark: 1421.9931, usercpu_time_millis: 347.95, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 347.34,
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: 1411.27, usercpu_time_millis: 5.29, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 4.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.6898, kappa: 0.3862, kb_relative_information_score: 497.566, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7016, predictive_accuracy: 0.6931, prior_entropy: 1, recall: 0.6931, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4459, root_relative_squared_error: 0.8917, scimark_benchmark: 1313.3154, usercpu_time_millis: 284.61, usercpu_time_millis_testing: 1.12, usercpu_time_millis_training: 283.49,
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: 1407.718, usercpu_time_millis: 2.26, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8237, kappa: 0.6477, kb_relative_information_score: 868.4681, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8247, predictive_accuracy: 0.8238, prior_entropy: 1, recall: 0.8238, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7786, scimark_benchmark: 1375.7939, usercpu_time_millis: 152.24, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 151.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.66, kappa: 0.3215, kb_relative_information_score: 218.1258, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6622, predictive_accuracy: 0.6608, prior_entropy: 1, recall: 0.6608, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9454, scimark_benchmark: 1332.6466, usercpu_time_millis: 38.99, usercpu_time_millis_testing: 1.49, usercpu_time_millis_training: 37.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7409, kappa: 0.4838, kb_relative_information_score: 494.0719, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7457, predictive_accuracy: 0.7419, prior_entropy: 1, recall: 0.7419, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8749, scimark_benchmark: 1326.7935, usercpu_time_millis: 24.36, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 23.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6416, kappa: 0.2862, kb_relative_information_score: 295.384, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6455, predictive_accuracy: 0.6431, prior_entropy: 1, recall: 0.6431, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9361, scimark_benchmark: 1333.561, usercpu_time_millis: 8.25, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 7.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8277, kappa: 0.6554, kb_relative_information_score: 1387.069, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8279, predictive_accuracy: 0.8277, prior_entropy: 1, recall: 0.8277, relative_absolute_error: 0.4939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7161, scimark_benchmark: 1858.6775, usercpu_time_millis: 2369.133, usercpu_time_millis_testing: 1.918, usercpu_time_millis_training: 2367.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8215, kappa: 0.6431, kb_relative_information_score: 916.643, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8221, predictive_accuracy: 0.8215, prior_entropy: 1, recall: 0.8215, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.7724, scimark_benchmark: 2003.4243, usercpu_time_millis: 1872.216, usercpu_time_millis_testing: 2.126, usercpu_time_millis_training: 1870.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8558, kappa: 0.7115, kb_relative_information_score: 1268.4459, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8559, predictive_accuracy: 0.8558, prior_entropy: 1, recall: 0.8558, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6803, scimark_benchmark: 1856.6531, usercpu_time_millis: 1628.59, usercpu_time_millis_testing: 2.391, usercpu_time_millis_training: 1626.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8423, kappa: 0.6846, kb_relative_information_score: 1060.9695, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8426, predictive_accuracy: 0.8423, prior_entropy: 1, recall: 0.8423, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7275, scimark_benchmark: 1853.9121, usercpu_time_millis: 1338.788, usercpu_time_millis_testing: 2.313, usercpu_time_millis_training: 1336.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7313, kappa: 0.4654, kb_relative_information_score: 417.4903, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7377, predictive_accuracy: 0.7327, prior_entropy: 1, recall: 0.7327, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8938, scimark_benchmark: 1825.0662, usercpu_time_millis: 133.471, usercpu_time_millis_testing: 1.702, usercpu_time_millis_training: 131.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.6856, kappa: 0.3731, kb_relative_information_score: 246.6981, mean_absolute_error: 0.4635, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6888, predictive_accuracy: 0.6865, prior_entropy: 1, recall: 0.6865, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9373, scimark_benchmark: 1860.3374, usercpu_time_millis: 101.084, usercpu_time_millis_testing: 2.344, usercpu_time_millis_training: 98.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7877, kappa: 0.5754, kb_relative_information_score: 862.3384, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7877, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.7979, scimark_benchmark: 1854.9533, usercpu_time_millis: 97.789, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 97.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.6145, kappa: 0.2292, kb_relative_information_score: 189.9616, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6148, predictive_accuracy: 0.6146, prior_entropy: 1, recall: 0.6146, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9656, scimark_benchmark: 1848.2722, usercpu_time_millis: 47.746, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 47.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6038, kappa: 0.2085, kb_relative_information_score: 83.1855, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6047, predictive_accuracy: 0.6042, prior_entropy: 1, recall: 0.6042, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9795, scimark_benchmark: 1994.9159, usercpu_time_millis: 7.094, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 6.539,
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: 1993.1849, usercpu_time_millis: 2.08, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 1.715,
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: 1850.2875, usercpu_time_millis: 3.169, usercpu_time_millis_testing: 0.717, usercpu_time_millis_training: 2.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8311, kappa: 0.6623, kb_relative_information_score: 1302.7653, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8313, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7042, scimark_benchmark: 1808.4562, usercpu_time_millis: 1265.375, usercpu_time_millis_testing: 1.33, usercpu_time_millis_training: 1264.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8215, kappa: 0.6431, kb_relative_information_score: 984.7195, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.822, predictive_accuracy: 0.8215, prior_entropy: 1, recall: 0.8215, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7566, scimark_benchmark: 1995.3303, usercpu_time_millis: 1261.024, usercpu_time_millis_testing: 1.586, usercpu_time_millis_training: 1259.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8218, kappa: 0.6438, kb_relative_information_score: 921.7214, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8225, predictive_accuracy: 0.8219, prior_entropy: 1, recall: 0.8219, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7708, scimark_benchmark: 1811.0724, usercpu_time_millis: 1204.73, usercpu_time_millis_testing: 1.904, usercpu_time_millis_training: 1202.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8431, kappa: 0.6862, kb_relative_information_score: 1178.3904, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8433, predictive_accuracy: 0.8431, prior_entropy: 1, recall: 0.8431, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3543, root_relative_squared_error: 0.7086, scimark_benchmark: 1962.361, usercpu_time_millis: 1103.499, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 1102.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.8485, kappa: 0.6969, kb_relative_information_score: 1293.7627, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8485, predictive_accuracy: 0.8485, prior_entropy: 1, recall: 0.8485, relative_absolute_error: 0.5451, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.6831, scimark_benchmark: 1801.9468, usercpu_time_millis: 1090.427, usercpu_time_millis_testing: 1.359, usercpu_time_millis_training: 1089.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8215, kappa: 0.6431, kb_relative_information_score: 1025.7253, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8218, predictive_accuracy: 0.8215, prior_entropy: 1, recall: 0.8215, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7502, scimark_benchmark: 1961.1539, usercpu_time_millis: 1016.478, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 1015.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8199, kappa: 0.64, kb_relative_information_score: 943.7732, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8205, predictive_accuracy: 0.82, prior_entropy: 1, recall: 0.82, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7665, scimark_benchmark: 2000.3798, usercpu_time_millis: 871.993, usercpu_time_millis_testing: 1.549, usercpu_time_millis_training: 870.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.87, kappa: 0.74, kb_relative_information_score: 1245.86, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8701, predictive_accuracy: 0.87, prior_entropy: 1, recall: 0.87, relative_absolute_error: 0.5704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6741, scimark_benchmark: 1853.454, usercpu_time_millis: 720.406, usercpu_time_millis_testing: 2.475, usercpu_time_millis_training: 717.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7488, kappa: 0.4977, kb_relative_information_score: 763.8333, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.749, predictive_accuracy: 0.7488, prior_entropy: 1, recall: 0.7488, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8328, scimark_benchmark: 1831.7316, usercpu_time_millis: 714.752, usercpu_time_millis_testing: 1.203, usercpu_time_millis_training: 713.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8299, kappa: 0.66, kb_relative_information_score: 971.8774, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8305, predictive_accuracy: 0.83, prior_entropy: 1, recall: 0.83, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7545, scimark_benchmark: 1958.2155, usercpu_time_millis: 621.429, usercpu_time_millis_testing: 1.137, usercpu_time_millis_training: 620.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7504, kappa: 0.5015, kb_relative_information_score: 698.9197, mean_absolute_error: 0.3836, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7523, predictive_accuracy: 0.7508, prior_entropy: 1, recall: 0.7508, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8362, scimark_benchmark: 1812.878, usercpu_time_millis: 510.908, usercpu_time_millis_testing: 1.339, usercpu_time_millis_training: 509.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.7382, kappa: 0.4808, kb_relative_information_score: 576.2373, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7486, predictive_accuracy: 0.7404, prior_entropy: 1, recall: 0.7404, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8631, scimark_benchmark: 1807.8395, usercpu_time_millis: 414.946, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 413.955,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8234, kappa: 0.6469, kb_relative_information_score: 908.7653, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 1, recall: 0.8235, relative_absolute_error: 0.6973, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7707, scimark_benchmark: 986.7498, usercpu_time_millis: 2327.238, usercpu_time_millis_testing: 3.859, usercpu_time_millis_training: 2323.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.7603, kappa: 0.5231, kb_relative_information_score: 541.8904, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.767, predictive_accuracy: 0.7615, prior_entropy: 1, recall: 0.7615, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8613, scimark_benchmark: 984.2509, usercpu_time_millis: 134.87, usercpu_time_millis_testing: 1.306, usercpu_time_millis_training: 133.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8753, f_measure: 0.8076, kappa: 0.6154, kb_relative_information_score: 882.1111, mean_absolute_error: 0.3518, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8085, predictive_accuracy: 0.8077, prior_entropy: 1, recall: 0.8077, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7865, scimark_benchmark: 912.1054, usercpu_time_millis: 3787.393, usercpu_time_millis_testing: 3.795, usercpu_time_millis_training: 3783.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8527, kappa: 0.7054, kb_relative_information_score: 1352.91, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8527, predictive_accuracy: 0.8527, prior_entropy: 1, recall: 0.8527, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6695, scimark_benchmark: 896.6461, usercpu_time_millis: 951.509, usercpu_time_millis_testing: 1.337, usercpu_time_millis_training: 950.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.6955, kappa: 0.3938, kb_relative_information_score: 404.0472, mean_absolute_error: 0.4362, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7007, predictive_accuracy: 0.6969, prior_entropy: 1, recall: 0.6969, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9082, scimark_benchmark: 926.6899, usercpu_time_millis: 79.004, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 78.257,
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: 901.7272, usercpu_time_millis: 5.981, usercpu_time_millis_testing: 1.334, usercpu_time_millis_training: 4.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8043, kappa: 0.6092, kb_relative_information_score: 794.8031, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8063, predictive_accuracy: 0.8046, prior_entropy: 1, recall: 0.8046, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4021, root_relative_squared_error: 0.8043, scimark_benchmark: 1022.2014, usercpu_time_millis: 451.363, usercpu_time_millis_testing: 1.167, usercpu_time_millis_training: 450.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8001, kappa: 0.6008, kb_relative_information_score: 800.8426, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8019, predictive_accuracy: 0.8004, prior_entropy: 1, recall: 0.8004, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8027, scimark_benchmark: 1048.7946, usercpu_time_millis: 1766.151, usercpu_time_millis_testing: 3.017, usercpu_time_millis_training: 1763.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8115, kappa: 0.6231, kb_relative_information_score: 920.1748, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8121, predictive_accuracy: 0.8115, prior_entropy: 1, recall: 0.8115, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.388, root_relative_squared_error: 0.776, scimark_benchmark: 975.5978, usercpu_time_millis: 2480.555, usercpu_time_millis_testing: 3.915, usercpu_time_millis_training: 2476.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8276, kappa: 0.6554, kb_relative_information_score: 962.7461, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8281, predictive_accuracy: 0.8277, prior_entropy: 1, recall: 0.8277, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7579, scimark_benchmark: 916.4163, usercpu_time_millis: 3725.174, usercpu_time_millis_testing: 4.086, usercpu_time_millis_training: 3721.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.8565, kappa: 0.7131, kb_relative_information_score: 1208.8673, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8567, predictive_accuracy: 0.8565, prior_entropy: 1, recall: 0.8565, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6916, scimark_benchmark: 976.5238, usercpu_time_millis: 2756.592, usercpu_time_millis_testing: 4.035, usercpu_time_millis_training: 2752.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.6751, kappa: 0.3538, kb_relative_information_score: 356.4569, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.681, predictive_accuracy: 0.6769, prior_entropy: 1, recall: 0.6769, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9196, scimark_benchmark: 990.0952, usercpu_time_millis: 51.072, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 50.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7015, kappa: 0.4069, kb_relative_information_score: 392.1538, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7091, predictive_accuracy: 0.7035, prior_entropy: 1, recall: 0.7035, relative_absolute_error: 0.8778, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9067, scimark_benchmark: 947.1625, usercpu_time_millis: 500.959, usercpu_time_millis_testing: 3.905, usercpu_time_millis_training: 497.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8573, kappa: 0.7146, kb_relative_information_score: 1274.2099, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8574, predictive_accuracy: 0.8573, prior_entropy: 1, recall: 0.8573, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6804, scimark_benchmark: 964.0999, usercpu_time_millis: 914.119, usercpu_time_millis_testing: 1.408, usercpu_time_millis_training: 912.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8327, kappa: 0.6654, kb_relative_information_score: 944.8332, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.833, predictive_accuracy: 0.8327, prior_entropy: 1, recall: 0.8327, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7582, scimark_benchmark: 989.3272, usercpu_time_millis: 401.35, usercpu_time_millis_testing: 1.128, usercpu_time_millis_training: 400.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.845, kappa: 0.69, kb_relative_information_score: 1301.7485, mean_absolute_error: 0.2706, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8451, predictive_accuracy: 0.845, prior_entropy: 1, recall: 0.845, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.683, scimark_benchmark: 994.9184, usercpu_time_millis: 5705.623, usercpu_time_millis_testing: 5.114, usercpu_time_millis_training: 5700.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7577, kappa: 0.5177, kb_relative_information_score: 604.4406, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7636, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8475, scimark_benchmark: 1026.0671, usercpu_time_millis: 78.522, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 77.434,
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: 1023.6671, usercpu_time_millis: 5.041, usercpu_time_millis_testing: 0.906, usercpu_time_millis_training: 4.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.816, kappa: 0.6323, kb_relative_information_score: 909.325, mean_absolute_error: 0.3478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8169, predictive_accuracy: 0.8162, prior_entropy: 1, recall: 0.8162, relative_absolute_error: 0.6956, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.775, scimark_benchmark: 875.7273, usercpu_time_millis: 2177.623, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 2174.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.6865, kappa: 0.3785, kb_relative_information_score: 390.4132, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6961, predictive_accuracy: 0.6892, prior_entropy: 1, recall: 0.6892, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9107, scimark_benchmark: 941.7551, usercpu_time_millis: 205.49, usercpu_time_millis_testing: 1.792, usercpu_time_millis_training: 203.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.6172, kappa: 0.2346, kb_relative_information_score: 262.0772, mean_absolute_error: 0.4597, 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: 0.9194, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9449, scimark_benchmark: 962.046, usercpu_time_millis: 23.75, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 23.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8184, kappa: 0.6369, kb_relative_information_score: 1043.017, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8191, predictive_accuracy: 0.8185, prior_entropy: 1, recall: 0.8185, relative_absolute_error: 0.6401, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7548, scimark_benchmark: 895.4135, usercpu_time_millis: 427.239, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 426.435,
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: 921.7035, usercpu_time_millis: 4.399, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 3.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.6175, kappa: 0.2354, kb_relative_information_score: 140.684, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6179, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9656, scimark_benchmark: 1009.3694, usercpu_time_millis: 47.133, usercpu_time_millis_testing: 2.132, usercpu_time_millis_training: 45.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.6419, kappa: 0.2846, kb_relative_information_score: 135.1915, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.643, predictive_accuracy: 0.6423, prior_entropy: 1, recall: 0.6423, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4828, root_relative_squared_error: 0.9657, scimark_benchmark: 899.5611, usercpu_time_millis: 80.1, usercpu_time_millis_testing: 3.424, usercpu_time_millis_training: 76.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7372, f_measure: 0.6623, kappa: 0.3285, kb_relative_information_score: 480.0417, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6681, predictive_accuracy: 0.6642, prior_entropy: 1, recall: 0.6642, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9095, scimark_benchmark: 949.9119, usercpu_time_millis: 525.727, usercpu_time_millis_testing: 1.609, usercpu_time_millis_training: 524.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 1360.6184, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8389, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.6918, scimark_benchmark: 963.3389, usercpu_time_millis: 666.134, usercpu_time_millis_testing: 0.963, usercpu_time_millis_training: 665.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8554, kappa: 0.7108, kb_relative_information_score: 1077.2259, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8557, predictive_accuracy: 0.8554, prior_entropy: 1, recall: 0.8554, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7178, scimark_benchmark: 953.8669, usercpu_time_millis: 1209.35, usercpu_time_millis_testing: 3.644, usercpu_time_millis_training: 1205.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.7797, kappa: 0.5608, kb_relative_information_score: 692.3982, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7839, predictive_accuracy: 0.7804, prior_entropy: 1, recall: 0.7804, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8264, scimark_benchmark: 912.8647, usercpu_time_millis: 1280.265, usercpu_time_millis_testing: 4.825, usercpu_time_millis_training: 1275.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7301, kappa: 0.4646, kb_relative_information_score: 578.4908, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7402, predictive_accuracy: 0.7323, prior_entropy: 1, recall: 0.7323, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8648, scimark_benchmark: 891.158, usercpu_time_millis: 540.602, usercpu_time_millis_testing: 1.46, usercpu_time_millis_training: 539.142,
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: 983.5281, usercpu_time_millis: 4.45, usercpu_time_millis_testing: 0.871, usercpu_time_millis_training: 3.579,

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