OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239379 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.485, f_measure: 0.4781, kappa: -0.0036, kb_relative_information_score: -0.1872, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0021, scimark_benchmark: 1751.1967, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6115, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 1805.1575, usercpu_time_millis: 0.874, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.6758, kappa: 0.3705, kb_relative_information_score: 213.162, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7097, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7833, scimark_benchmark: 1825.6404, usercpu_time_millis: 1.239, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4677, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: -0.17, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1829.3126, usercpu_time_millis: 1.08, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6165, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1849.9688, usercpu_time_millis: 2.794, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6168, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1877.289, usercpu_time_millis: 0.631, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6145, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.539, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6178, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 1949.7563, usercpu_time_millis: 0.814, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4805, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3433, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1813.5584, usercpu_time_millis: 1.248, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4765, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3466, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.994, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.1817, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0073, root_relative_squared_error: 0.0146, scimark_benchmark: 1876.127, usercpu_time_millis: 0.896, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6156, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 1819.2437, usercpu_time_millis: 0.637, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9784, kappa: 0.9568, kb_relative_information_score: 511.5825, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9785, predictive_accuracy: 0.9784, prior_entropy: 1, recall: 0.9784, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2724, scimark_benchmark: 1823.2506, usercpu_time_millis: 0.939, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 532.8408, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.1955, scimark_benchmark: 1756.2894, usercpu_time_millis: 0.772, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 501.3604, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9894, predictive_accuracy: 0.9892, prior_entropy: 1, recall: 0.9892, relative_absolute_error: 0.1178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2358, scimark_benchmark: 1960.9175, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6201, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1819.3142, usercpu_time_millis: 0.823, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6075, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8208, scimark_benchmark: 1756.2894, usercpu_time_millis: 0.585, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7341, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6281, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1826.9225, usercpu_time_millis: 0.785, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 478.6235, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.166, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.2871, scimark_benchmark: 1967.7484, usercpu_time_millis: 0.933, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4765, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.333, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1760.4509, usercpu_time_millis: 1.06, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 535.5119, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9877, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.1768, scimark_benchmark: 1758.8259, usercpu_time_millis: 0.718, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4494, f_measure: 0.322, kappa: -0.0504, kb_relative_information_score: -1.5947, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.2435, predictive_accuracy: 0.4748, prior_entropy: 1, recall: 0.4748, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0024, scimark_benchmark: 1962.7637, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.6758, kappa: 0.3705, kb_relative_information_score: 213.1634, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7097, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7833, scimark_benchmark: 1848.6657, usercpu_time_millis: 1.469, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 1.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4542, f_measure: 0.4659, kappa: -0.0504, kb_relative_information_score: -1.0293, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.473, predictive_accuracy: 0.4748, prior_entropy: 1, recall: 0.4748, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0017, scimark_benchmark: 1801.774, usercpu_time_millis: 1.058, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.2933, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0092, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0048, root_relative_squared_error: 0.0096, scimark_benchmark: 1772.8615, usercpu_time_millis: 7.83, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 7.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7543, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 195.6104, mean_absolute_error: 0.339, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8393, scimark_benchmark: 1806.9376, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.1562, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0095, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0101, root_relative_squared_error: 0.0202, scimark_benchmark: 1977.7516, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6178, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1787.8999, usercpu_time_millis: 0.693, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.0211, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, scimark_benchmark: 1793.4018, usercpu_time_millis: 1.124, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9676, kappa: 0.9353, kb_relative_information_score: 488.2336, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9688, predictive_accuracy: 0.9676, prior_entropy: 1, recall: 0.9676, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.333, scimark_benchmark: 1760.1004, usercpu_time_millis: 1, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4751, f_measure: 0.4679, kappa: -0.0468, kb_relative_information_score: -1.2584, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.475, predictive_accuracy: 0.4766, prior_entropy: 1, recall: 0.4766, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0025, scimark_benchmark: 1749.3291, usercpu_time_millis: 0.983, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 514.7241, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9875, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.2266, scimark_benchmark: 1756.1976, usercpu_time_millis: 0.903, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8525, kappa: 0.705, kb_relative_information_score: 358.5179, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8527, predictive_accuracy: 0.8525, prior_entropy: 1, recall: 0.8525, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.5872, scimark_benchmark: 1740.893, usercpu_time_millis: 1.055, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8687, kappa: 0.7374, kb_relative_information_score: 359.2589, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8687, predictive_accuracy: 0.8687, prior_entropy: 1, recall: 0.8687, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.5755, scimark_benchmark: 1757.2211, usercpu_time_millis: 1.014, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.982,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 553.1442, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0039, root_relative_squared_error: 0.0078, scimark_benchmark: 1795.2798, usercpu_time_millis: 1.49, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.444,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4658, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: -0.2494, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1962.4972, usercpu_time_millis: 0.925, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8195, kappa: 0.6403, kb_relative_information_score: 239.906, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.825, predictive_accuracy: 0.8201, prior_entropy: 1, recall: 0.8201, relative_absolute_error: 0.5788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.372, root_relative_squared_error: 0.744, scimark_benchmark: 1754.6165, usercpu_time_millis: 1.026, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.6758, kappa: 0.3705, kb_relative_information_score: 213.1629, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7097, predictive_accuracy: 0.6853, prior_entropy: 1, recall: 0.6853, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7833, scimark_benchmark: 1758.4252, usercpu_time_millis: 1.524, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.483, f_measure: 0.4971, kb_relative_information_score: -0.3438, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 1751.6968, usercpu_time_millis: 0.981, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.7536, kappa: 0.5144, kb_relative_information_score: 130.8723, mean_absolute_error: 0.4003, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7731, predictive_accuracy: 0.7572, prior_entropy: 1, recall: 0.7572, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8631, scimark_benchmark: 1754.6815, usercpu_time_millis: 1.122, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4891, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.364, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1736.7784, usercpu_time_millis: 1.19, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6232, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1735.3254, usercpu_time_millis: 1.424, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 1.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 203.415, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6579, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8227, scimark_benchmark: 1758.4252, usercpu_time_millis: 1.135, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4761, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.2175, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0011, scimark_benchmark: 1756.754, usercpu_time_millis: 1.176, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 173.266, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8499, scimark_benchmark: 1748.4022, usercpu_time_millis: 0.973, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9604, kappa: 0.9209, kb_relative_information_score: 483.9536, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9633, predictive_accuracy: 0.9604, prior_entropy: 1, recall: 0.9604, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3504, scimark_benchmark: 1757.4543, usercpu_time_millis: 1.011, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 552.2529, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0093, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0054, root_relative_squared_error: 0.0109, scimark_benchmark: 1748.103, usercpu_time_millis: 0.556, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7489, kappa: 0.5, kb_relative_information_score: 106.0022, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7545, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8815, scimark_benchmark: 1751.5229, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.463, f_measure: 0.4622, kappa: -0.0719, kb_relative_information_score: -0.7204, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4635, predictive_accuracy: 0.464, prior_entropy: 1, recall: 0.464, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014, scimark_benchmark: 1752.7851, usercpu_time_millis: 1.154, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.4781, kb_relative_information_score: -0.4334, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0013, scimark_benchmark: 1753.6457, usercpu_time_millis: 0.971, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4761, f_measure: 0.455, kappa: -0.0576, kb_relative_information_score: -0.4745, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4673, predictive_accuracy: 0.4712, prior_entropy: 1, recall: 0.4712, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, scimark_benchmark: 1751.7584, usercpu_time_millis: 1.441, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4768, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3502, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1861.6475, usercpu_time_millis: 1.017, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.9204, kappa: 0.8417, kb_relative_information_score: 386.1421, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9317, predictive_accuracy: 0.9209, prior_entropy: 1, recall: 0.9209, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5386, scimark_benchmark: 1759.235, usercpu_time_millis: 1.778, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6154, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1865.3572, usercpu_time_millis: 0.565, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.6526, kappa: 0.3058, kb_relative_information_score: 36.0799, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.6535, predictive_accuracy: 0.6529, prior_entropy: 1, recall: 0.6529, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4805, root_relative_squared_error: 0.961, scimark_benchmark: 1749.9829, usercpu_time_millis: 0.987, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.44, f_measure: 0.4223, kappa: -0.0863, kb_relative_information_score: -1.2498, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4433, predictive_accuracy: 0.4568, prior_entropy: 1, recall: 0.4568, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0019, scimark_benchmark: 1754.1079, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4616, f_measure: 0.4694, kappa: -0.0612, kb_relative_information_score: -1.1017, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4694, predictive_accuracy: 0.4694, prior_entropy: 1, recall: 0.4694, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0017, scimark_benchmark: 1851.9445, usercpu_time_millis: 0.933, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4805, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.2991, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1749.0072, usercpu_time_millis: 1.14, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8058, kappa: 0.6115, kb_relative_information_score: 220.3903, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8058, predictive_accuracy: 0.8058, prior_entropy: 1, recall: 0.8058, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7402, scimark_benchmark: 1876.23, usercpu_time_millis: 0.954, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4801, f_measure: 0.455, kappa: 0.0144, kb_relative_information_score: -0.6728, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5117, predictive_accuracy: 0.5072, prior_entropy: 1, recall: 0.5072, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0011, scimark_benchmark: 1747.361, usercpu_time_millis: 1.162, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4765, f_measure: 0.4985, kappa: 0.0072, kb_relative_information_score: 0.3529, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5037, predictive_accuracy: 0.5036, prior_entropy: 1, recall: 0.5036, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, scimark_benchmark: 1866.3532, usercpu_time_millis: 1.006, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 545.5814, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0388, root_relative_squared_error: 0.0776, scimark_benchmark: 1758.8898, usercpu_time_millis: 1.052, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7337, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 172.3153, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8498, scimark_benchmark: 1754.9817, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.6879, kappa: 0.3849, kb_relative_information_score: 128.9582, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7043, predictive_accuracy: 0.6924, prior_entropy: 1, recall: 0.6924, relative_absolute_error: 0.7989, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8478, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.061, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 191.6273, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1747.7583, usercpu_time_millis: 2.016, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 1.967,

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