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: 0.4964, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0324, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, scimark_benchmark: 1835.5234, usercpu_time_millis: 0.078, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0136, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1853.5846, usercpu_time_millis: 1.203, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4969, kappa: 0.0036, kb_relative_information_score: -0.009, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5019, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1848.5009, usercpu_time_millis: 0.284, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0111, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1849.9303, usercpu_time_millis: 0.673, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.8777, kappa: 0.759, kb_relative_information_score: 169.1904, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9029, predictive_accuracy: 0.8795, prior_entropy: 1, recall: 0.8795, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7748, scimark_benchmark: 1855.7107, usercpu_time_millis: 3.196, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 2.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8796, kappa: 0.7626, kb_relative_information_score: 167.2289, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9041, predictive_accuracy: 0.8813, prior_entropy: 1, recall: 0.8813, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.7775, scimark_benchmark: 1852.5429, usercpu_time_millis: 2.435, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 2.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9748, kappa: 0.9496, kb_relative_information_score: 345.9614, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.976, predictive_accuracy: 0.9748, prior_entropy: 1, recall: 0.9748, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5215, scimark_benchmark: 1863.9124, usercpu_time_millis: 1.721, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 512.4234, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.085, root_relative_squared_error: 0.1699, scimark_benchmark: 1888.1755, usercpu_time_millis: 2.939, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 2.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8263, kappa: 0.6547, kb_relative_information_score: 289.2208, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8357, predictive_accuracy: 0.8273, prior_entropy: 1, recall: 0.8273, relative_absolute_error: 0.5029, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6649, scimark_benchmark: 1866.1679, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 139.1309, mean_absolute_error: 0.3916, 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: 0.7832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8436, scimark_benchmark: 1852.1043, usercpu_time_millis: 0.535, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4929, kappa: -0.0036, kb_relative_information_score: -0.0022, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1853.0623, usercpu_time_millis: 1.068, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 416.221, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3822, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.847, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.855, kappa: 0.7158, kb_relative_information_score: 161.2019, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8894, predictive_accuracy: 0.8579, prior_entropy: 1, recall: 0.8579, relative_absolute_error: 0.7633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.7867, scimark_benchmark: 1745.8253, usercpu_time_millis: 1.401, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 158.2195, mean_absolute_error: 0.3759, 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: 0.7518, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8152, scimark_benchmark: 1854.8036, usercpu_time_millis: 1.296, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 415.4675, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3027, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.3904, scimark_benchmark: 1847.8582, usercpu_time_millis: 1.197, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9946, kappa: 0.9892, kb_relative_information_score: 397.5972, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9947, predictive_accuracy: 0.9946, prior_entropy: 1, recall: 0.9946, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4298, scimark_benchmark: 1744.9079, usercpu_time_millis: 1.43, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 379.3972, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 1, recall: 0.991, relative_absolute_error: 0.3692, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.4656, scimark_benchmark: 1844.2336, usercpu_time_millis: 0.65, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9222, kappa: 0.8453, kb_relative_information_score: 181.3989, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.933, predictive_accuracy: 0.9227, prior_entropy: 1, recall: 0.9227, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7562, scimark_benchmark: 1853.0696, usercpu_time_millis: 0.622, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.7565, kappa: 0.536, kb_relative_information_score: 200.7845, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8306, predictive_accuracy: 0.768, prior_entropy: 1, recall: 0.768, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7733, scimark_benchmark: 1839.1391, usercpu_time_millis: 0.348, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9622, kappa: 0.9245, kb_relative_information_score: 337.8515, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9649, predictive_accuracy: 0.9622, prior_entropy: 1, recall: 0.9622, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5437, scimark_benchmark: 1743.0319, usercpu_time_millis: 0.773, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 0.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0214, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1855.2567, usercpu_time_millis: 1.011, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 308.9221, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2851, root_relative_squared_error: 0.5702, scimark_benchmark: 1838.8567, usercpu_time_millis: 3.645, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 3.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.8908, kappa: 0.7842, kb_relative_information_score: 171.1147, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9112, predictive_accuracy: 0.8921, prior_entropy: 1, recall: 0.8921, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7719, scimark_benchmark: 1843.2204, usercpu_time_millis: 0.986, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9856, kappa: 0.9712, kb_relative_information_score: 335.2787, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9858, predictive_accuracy: 0.9856, prior_entropy: 1, recall: 0.9856, relative_absolute_error: 0.4566, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5292, scimark_benchmark: 1820.185, usercpu_time_millis: 0.998, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 82.4116, mean_absolute_error: 0.4413, 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: 0.8826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.8991, scimark_benchmark: 1826.6487, usercpu_time_millis: 1.267, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 369.9119, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.4563, scimark_benchmark: 1887.4574, usercpu_time_millis: 3.988, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 3.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0142, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1861.1843, usercpu_time_millis: 0.782, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9658, kappa: 0.9317, kb_relative_information_score: 324.4992, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.968, predictive_accuracy: 0.9658, prior_entropy: 1, recall: 0.9658, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.5529, scimark_benchmark: 1884.4714, usercpu_time_millis: 2.48, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 2.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 449.2004, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3092, scimark_benchmark: 1864.7909, usercpu_time_millis: 4.457, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 3.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9928, kappa: 0.9856, kb_relative_information_score: 370.313, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9929, predictive_accuracy: 0.9928, prior_entropy: 1, recall: 0.9928, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.4858, scimark_benchmark: 1864.5074, usercpu_time_millis: 1.162, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 381.7799, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4546, scimark_benchmark: 1872.5609, usercpu_time_millis: 3.295, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 2.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 507.008, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.1876, scimark_benchmark: 1869.1727, usercpu_time_millis: 3.522, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 3.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 366.9475, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9774, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.3909, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.4884, scimark_benchmark: 1859.4881, usercpu_time_millis: 3.242, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 2.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9093, kappa: 0.8201, kb_relative_information_score: 276.0242, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9238, predictive_accuracy: 0.9101, prior_entropy: 1, recall: 0.9101, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6399, scimark_benchmark: 1873.9908, usercpu_time_millis: 2.412, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 2.028,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8569, kappa: 0.7194, kb_relative_information_score: 157.6235, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8904, predictive_accuracy: 0.8597, prior_entropy: 1, recall: 0.8597, relative_absolute_error: 0.769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7919, scimark_benchmark: 1869.0673, usercpu_time_millis: 1.933, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.655,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7295, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 192.7724, mean_absolute_error: 0.3366, 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: 0.6733, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8207, scimark_benchmark: 1797.0629, usercpu_time_millis: 1.167, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 0.932,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.4949, kb_relative_information_score: -0.0225, mean_absolute_error: 0.5, 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, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1833.6579, usercpu_time_millis: 0.934, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 0.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 446.1627, mean_absolute_error: 0.1205, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3262, scimark_benchmark: 1941.5145, usercpu_time_millis: 0.646, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.011, mean_absolute_error: 0.5, 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, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1834.1773, usercpu_time_millis: 0.433, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 391.0326, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4401, scimark_benchmark: 1873.2281, usercpu_time_millis: 3.223, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 2.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.889, kappa: 0.7806, kb_relative_information_score: 170.1004, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.91, predictive_accuracy: 0.8903, prior_entropy: 1, recall: 0.8903, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7732, scimark_benchmark: 1851.0585, usercpu_time_millis: 2.754, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 312.382, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5622, scimark_benchmark: 1858.9715, usercpu_time_millis: 2.949, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 2.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 513.962, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.161, scimark_benchmark: 1867.725, usercpu_time_millis: 3.17, usercpu_time_millis_testing: 0.332, usercpu_time_millis_training: 2.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 460.0503, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.146, root_relative_squared_error: 0.2921, scimark_benchmark: 1844.2935, usercpu_time_millis: 2.437, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 1.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 336.0762, mean_absolute_error: 0.2287, 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: 0.4574, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5244, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.163, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.8531, kappa: 0.7122, kb_relative_information_score: 160.2027, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8883, predictive_accuracy: 0.8561, prior_entropy: 1, recall: 0.8561, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.394, root_relative_squared_error: 0.788, scimark_benchmark: 2060.9873, usercpu_time_millis: 2.042, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9802, kappa: 0.9604, kb_relative_information_score: 349.0624, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.981, predictive_accuracy: 0.9802, prior_entropy: 1, recall: 0.9802, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.4998, scimark_benchmark: 1833.1768, usercpu_time_millis: 0.261, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 460.7037, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.3109, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.326, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0043, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1867.5457, usercpu_time_millis: 0.648, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 491.6385, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.2188, scimark_benchmark: 1956.3173, usercpu_time_millis: 0.67, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 482.451, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.2309, scimark_benchmark: 1851.0585, usercpu_time_millis: 1.396, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 1.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 387.4768, mean_absolute_error: 0.1767, 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: 0.3534, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.226, root_relative_squared_error: 0.452, scimark_benchmark: 1846.4972, usercpu_time_millis: 0.444, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9368, kappa: 0.8741, kb_relative_information_score: 304.3633, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9441, predictive_accuracy: 0.9371, prior_entropy: 1, recall: 0.9371, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.5945, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.196, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 405.0092, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4121, scimark_benchmark: 1852.9259, usercpu_time_millis: 1.295, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9222, kappa: 0.8453, kb_relative_information_score: 182.8608, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.933, predictive_accuracy: 0.9227, prior_entropy: 1, recall: 0.9227, relative_absolute_error: 0.7306, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.7538, scimark_benchmark: 1845.264, usercpu_time_millis: 0.554, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9038, kappa: 0.8094, kb_relative_information_score: 304.1276, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9199, predictive_accuracy: 0.9047, prior_entropy: 1, recall: 0.9047, relative_absolute_error: 0.4946, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6133, scimark_benchmark: 1858.9715, usercpu_time_millis: 0.793, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 196.5692, mean_absolute_error: 0.336, 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: 0.6721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7952, scimark_benchmark: 1865.7643, usercpu_time_millis: 1.465, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0153, mean_absolute_error: 0.5, 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, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 2133.8922, usercpu_time_millis: 0.755, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9423, kappa: 0.8849, kb_relative_information_score: 312.0688, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9484, predictive_accuracy: 0.9424, prior_entropy: 1, recall: 0.9424, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5805, scimark_benchmark: 1870.8644, usercpu_time_millis: 1.355, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 434.4299, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.3617, scimark_benchmark: 1873.4805, usercpu_time_millis: 0.713, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5, kb_relative_information_score: -0.0023, mean_absolute_error: 0.5, 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, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1870.742, usercpu_time_millis: 1.094, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 414.8407, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3825, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 178.1301, mean_absolute_error: 0.3554, 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: 0.7109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8035, scimark_benchmark: 1867.1541, usercpu_time_millis: 1.582, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7312, kappa: 0.4964, kb_relative_information_score: 49.5451, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8325, predictive_accuracy: 0.7482, prior_entropy: 1, recall: 0.7482, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9383, scimark_benchmark: 1876.2965, usercpu_time_millis: 0.331, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 166.9863, mean_absolute_error: 0.3641, 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: 0.7282, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8271, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.897, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 0.648,

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