Task
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 3494 Supervised Classification monks-problems-3 72978 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.3556, kb_relative_information_score: -0.0096, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1870.8114, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3556, kb_relative_information_score: -0.0163, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.411, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 289.9196, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.579, scimark_benchmark: 1874.977, usercpu_time_millis: 0.404, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9603, kappa: 0.9205, kb_relative_information_score: 86.7044, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9607, predictive_accuracy: 0.9603, prior_entropy: 0.9989, recall: 0.9603, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8865, scimark_benchmark: 1876.2965, usercpu_time_millis: 1.363, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 219.7618, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6927, scimark_benchmark: 1877.2162, usercpu_time_millis: 1.604, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3556, kb_relative_information_score: -0.0242, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 284.3068, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5891, scimark_benchmark: 1869.8766, usercpu_time_millis: 1.777, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 258.9435, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6312, scimark_benchmark: 1865.4271, usercpu_time_millis: 1.51, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 526.2493, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9765, predictive_accuracy: 0.9765, prior_entropy: 0.9989, recall: 0.9765, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.2772, scimark_benchmark: 1872.9496, usercpu_time_millis: 3.167, usercpu_time_millis_testing: 0.43, usercpu_time_millis_training: 2.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 158.1342, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3932, root_relative_squared_error: 0.7871, scimark_benchmark: 1867.7916, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9477, kappa: 0.8952, kb_relative_information_score: 91.9162, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 0.9989, recall: 0.9477, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.8795, scimark_benchmark: 1861.4992, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 351.8013, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.243, root_relative_squared_error: 0.4864, scimark_benchmark: 1862.932, usercpu_time_millis: 1.532, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 496.2542, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.2895, scimark_benchmark: 1867.6581, usercpu_time_millis: 1.734, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 527.8545, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.9989, recall: 0.9874, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.24, scimark_benchmark: 1873.9387, usercpu_time_millis: 2.674, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 2.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 524.5505, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.2707, scimark_benchmark: 1862.5505, usercpu_time_millis: 2.576, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 2.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.3556, kb_relative_information_score: -0.0005, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.391, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 526.2343, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9857, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.0553, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2405, scimark_benchmark: 1868.1196, usercpu_time_millis: 0.544, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.3556, kb_relative_information_score: -0.0228, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.964, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 271.3637, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5877, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6105, scimark_benchmark: 1871.5019, usercpu_time_millis: 1.468, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 526.9192, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2416, scimark_benchmark: 1861.8971, usercpu_time_millis: 1.219, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 490.6703, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3243, scimark_benchmark: 1863.4543, usercpu_time_millis: 0.841, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9603, kappa: 0.9205, kb_relative_information_score: 87.9055, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9607, predictive_accuracy: 0.9603, prior_entropy: 0.9989, recall: 0.9603, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.8848, scimark_benchmark: 1862.5409, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 527.5714, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0549, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.2205, scimark_benchmark: 1874.0573, usercpu_time_millis: 2.964, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 2.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 279.3557, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5733, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.5973, scimark_benchmark: 1873.4805, usercpu_time_millis: 2.872, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 2.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.3556, kb_relative_information_score: -0.0135, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1863.9124, usercpu_time_millis: 0.633, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4941, f_measure: 0.3556, kb_relative_information_score: -0.0228, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1144.5291, usercpu_time_millis: 1.46, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 503.381, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.2745, scimark_benchmark: 1867.725, usercpu_time_millis: 0.488, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 469.3197, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1885, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.292, scimark_benchmark: 1868.0738, usercpu_time_millis: 2.957, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 2.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 469.703, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1888, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.2893, scimark_benchmark: 1871.5019, usercpu_time_millis: 4.25, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 3.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 483.5959, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1459, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.3377, scimark_benchmark: 1864.4451, usercpu_time_millis: 0.59, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.3556, kb_relative_information_score: -0.0201, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.153, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 479.2061, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1563, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3315, scimark_benchmark: 1871.4349, usercpu_time_millis: 1.319, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.098,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9819, kappa: 0.9638, kb_relative_information_score: 526.5978, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.982, predictive_accuracy: 0.9819, prior_entropy: 0.9989, recall: 0.9819, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2449, scimark_benchmark: 1871.5019, usercpu_time_millis: 1.802, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.503,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.3556, kb_relative_information_score: -0.0036, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1862.5505, usercpu_time_millis: 0.512, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9819, kappa: 0.9638, kb_relative_information_score: 452.9278, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9819, predictive_accuracy: 0.9819, prior_entropy: 0.9989, recall: 0.9819, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1598, root_relative_squared_error: 0.3198, scimark_benchmark: 1868.5777, usercpu_time_millis: 1.154, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 461.8323, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.9989, recall: 0.9856, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3057, scimark_benchmark: 1866.2224, usercpu_time_millis: 2.961, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 2.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 530.5223, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2199, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.404, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 526.7036, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.2258, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.1, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 247.5727, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6514, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.769, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.3556, kb_relative_information_score: -0.0146, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1866.1679, usercpu_time_millis: 0.231, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9783, kappa: 0.9566, kb_relative_information_score: 446.3333, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9784, predictive_accuracy: 0.9783, prior_entropy: 0.9989, recall: 0.9783, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.3354, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.608, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 390.3589, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4257, scimark_benchmark: 1870.9768, usercpu_time_millis: 1.465, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 375.4229, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.458, scimark_benchmark: 1871.1262, usercpu_time_millis: 1.346, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 524.3058, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.2547, scimark_benchmark: 1873.019, usercpu_time_millis: 0.728, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 391.4012, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2118, root_relative_squared_error: 0.4239, scimark_benchmark: 1872.4216, usercpu_time_millis: 2.243, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 1.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 491.0466, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3462, scimark_benchmark: 1871.4349, usercpu_time_millis: 0.483, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 462.1878, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.2034, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.3053, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.088, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 521.8981, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0687, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.2231, scimark_benchmark: 1868.269, usercpu_time_millis: 1.761, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 1.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 431.3375, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3574, scimark_benchmark: 1868.7188, usercpu_time_millis: 3.008, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 2.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 272.2573, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5859, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6093, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.335, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 498.6092, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1201, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2625, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.302, usercpu_time_millis_testing: 0.379, usercpu_time_millis_training: 1.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 511.4315, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0916, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2426, scimark_benchmark: 1870.9768, usercpu_time_millis: 1.187, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 433.4939, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.3888, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.638, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 1.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 462.2353, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 0.9989, recall: 0.9765, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3054, scimark_benchmark: 1868.7112, usercpu_time_millis: 3.62, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 2.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 525.2961, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.257, scimark_benchmark: 1872.8797, usercpu_time_millis: 3.396, usercpu_time_millis_testing: 0.523, usercpu_time_millis_training: 2.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 436.2696, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.3476, scimark_benchmark: 1866.6261, usercpu_time_millis: 1.005, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 451.9736, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3799, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.194, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 489.491, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3314, scimark_benchmark: 1871.5019, usercpu_time_millis: 1.951, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 1.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 500.6143, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1291, root_relative_squared_error: 0.2584, scimark_benchmark: 1867.725, usercpu_time_millis: 2.235, usercpu_time_millis_testing: 0.381, usercpu_time_millis_training: 1.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 480.9138, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.342, scimark_benchmark: 1873.5293, usercpu_time_millis: 0.408, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.3556, kb_relative_information_score: -0.0102, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1867.725, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 526.5138, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2163, scimark_benchmark: 1866.0402, usercpu_time_millis: 0.545, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 464.5964, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3015, scimark_benchmark: 1865.8853, usercpu_time_millis: 0.566, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.904, kappa: 0.8077, kb_relative_information_score: 241.6544, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9068, predictive_accuracy: 0.9043, prior_entropy: 0.9989, recall: 0.9043, relative_absolute_error: 0.6256, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.6808, scimark_benchmark: 1876.2965, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.143,

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