OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.837, kappa: 0.6311, kb_relative_information_score: 362.6205, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8699, predictive_accuracy: 0.8486, prior_entropy: 0.9312, recall: 0.8486, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.7266, scimark_benchmark: 1852.1047, usercpu_time_millis: 6.024, usercpu_time_millis_testing: 1.064, usercpu_time_millis_training: 4.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8037, kappa: 0.5568, kb_relative_information_score: 271.5311, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8557, predictive_accuracy: 0.8225, prior_entropy: 0.9312, recall: 0.8225, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.8097, scimark_benchmark: 1852.0889, usercpu_time_millis: 2.937, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 2.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8646, kappa: 0.6937, kb_relative_information_score: 419.7534, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8904, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.323, root_relative_squared_error: 0.6787, scimark_benchmark: 1859.4255, usercpu_time_millis: 4.188, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 3.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8517, kappa: 0.6644, kb_relative_information_score: 396.6714, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8862, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.7059, scimark_benchmark: 1865.3103, usercpu_time_millis: 3.596, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 3.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8985, kappa: 0.7709, kb_relative_information_score: 560.0514, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9147, predictive_accuracy: 0.9029, prior_entropy: 0.9312, recall: 0.9029, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5736, scimark_benchmark: 1853.321, usercpu_time_millis: 5.788, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 5.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.8995, kappa: 0.7732, kb_relative_information_score: 521.229, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9163, predictive_accuracy: 0.904, prior_entropy: 0.9312, recall: 0.904, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.5876, scimark_benchmark: 1863.8212, usercpu_time_millis: 3.078, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 2.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.5165, kb_relative_information_score: -0.0844, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.906, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.6392, kappa: 0.2167, kb_relative_information_score: 93.7765, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8011, predictive_accuracy: 0.714, prior_entropy: 0.9312, recall: 0.714, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9347, scimark_benchmark: 1863.6877, usercpu_time_millis: 2.354, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 1.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8271, kappa: 0.6089, kb_relative_information_score: 303.442, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8627, predictive_accuracy: 0.8403, prior_entropy: 0.9312, recall: 0.8403, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7693, scimark_benchmark: 1873.5991, usercpu_time_millis: 2.257, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 1.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.5165, kb_relative_information_score: -0.8042, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1866.6959, usercpu_time_millis: 0.816, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9663, kappa: 0.925, kb_relative_information_score: 482.2101, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9674, predictive_accuracy: 0.9666, prior_entropy: 0.9312, recall: 0.9666, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.6121, scimark_benchmark: 1863.3, usercpu_time_millis: 4.184, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 3.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 701.3209, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4139, scimark_benchmark: 1855.7733, usercpu_time_millis: 6.98, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 5.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 780.9274, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3328, scimark_benchmark: 1860.4688, usercpu_time_millis: 5.132, usercpu_time_millis_testing: 0.664, usercpu_time_millis_training: 4.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8806, kappa: 0.7303, kb_relative_information_score: 372.4396, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8981, predictive_accuracy: 0.8862, prior_entropy: 0.9312, recall: 0.8862, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.7098, scimark_benchmark: 1874.0573, usercpu_time_millis: 5.184, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 4.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 663.6831, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9589, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.459, scimark_benchmark: 1874.397, usercpu_time_millis: 10.215, usercpu_time_millis_testing: 1.44, usercpu_time_millis_training: 8.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8736, f_measure: 0.7924, kappa: 0.5314, kb_relative_information_score: 228.4738, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8464, predictive_accuracy: 0.8132, prior_entropy: 0.9312, recall: 0.8132, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8344, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.311, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.5881, kappa: 0.1223, kb_relative_information_score: 89.8532, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7883, predictive_accuracy: 0.6868, prior_entropy: 0.9312, recall: 0.6868, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.9301, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.871, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.1733, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.543, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 129.577, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9231, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.544, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 1.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.7105, kappa: 0.3451, kb_relative_information_score: 196.3751, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7264, predictive_accuracy: 0.7328, prior_entropy: 0.9312, recall: 0.7328, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8548, scimark_benchmark: 1877.4076, usercpu_time_millis: 1.575, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.5165, kb_relative_information_score: 45.5982, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9631, scimark_benchmark: 1864.9656, usercpu_time_millis: 1.489, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7781, kappa: 0.4998, kb_relative_information_score: 186.2563, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8353, predictive_accuracy: 0.8017, prior_entropy: 0.9312, recall: 0.8017, relative_absolute_error: 0.8325, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8759, scimark_benchmark: 1870.8114, usercpu_time_millis: 1.742, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7845, kappa: 0.5135, kb_relative_information_score: 218.6048, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8353, predictive_accuracy: 0.8058, prior_entropy: 0.9312, recall: 0.8058, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8484, scimark_benchmark: 1864.8991, usercpu_time_millis: 2.647, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8335, kappa: 0.6232, kb_relative_information_score: 322.6482, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8665, predictive_accuracy: 0.8455, prior_entropy: 0.9312, recall: 0.8455, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7579, scimark_benchmark: 1870.5981, usercpu_time_millis: 2.872, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 2.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9715, kappa: 0.9366, kb_relative_information_score: 523.8804, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.973, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5897, scimark_benchmark: 1866.6076, usercpu_time_millis: 3.237, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 2.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 713.5027, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4008, scimark_benchmark: 1858.6775, usercpu_time_millis: 3.355, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 2.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 760.0899, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.2513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.3583, scimark_benchmark: 1874.977, usercpu_time_millis: 4.286, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 3.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8225, kappa: 0.5988, kb_relative_information_score: 379.3843, mean_absolute_error: 0.2951, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8703, predictive_accuracy: 0.8382, prior_entropy: 0.9312, recall: 0.8382, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7257, scimark_benchmark: 1871.9601, usercpu_time_millis: 4.512, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 3.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 711.9088, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.3103, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4004, scimark_benchmark: 1871.0037, usercpu_time_millis: 5.284, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 4.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 811.7682, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.1874, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.2945, scimark_benchmark: 1871.5019, usercpu_time_millis: 8.213, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 7.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9694, kappa: 0.9319, kb_relative_information_score: 731.1375, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9708, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.3966, scimark_benchmark: 1872.2318, usercpu_time_millis: 8.086, usercpu_time_millis_testing: 1.099, usercpu_time_millis_training: 6.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9522, kappa: 0.893, kb_relative_information_score: 529.9352, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9558, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.5168, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5717, scimark_benchmark: 1868.7112, usercpu_time_millis: 12.023, usercpu_time_millis_testing: 2.064, usercpu_time_millis_training: 9.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.694, kappa: 0.3083, kb_relative_information_score: 191.3392, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6979, predictive_accuracy: 0.7109, prior_entropy: 0.9312, recall: 0.7109, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8709, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.5354, kappa: 0.0313, kb_relative_information_score: 87.088, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7771, predictive_accuracy: 0.6618, prior_entropy: 0.9312, recall: 0.6618, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9361, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.783, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.055, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1871.9601, usercpu_time_millis: 0.668, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.522,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8332, kappa: 0.6227, kb_relative_information_score: 350.3107, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8617, predictive_accuracy: 0.8445, prior_entropy: 0.9312, recall: 0.8445, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7338, scimark_benchmark: 1860.2646, usercpu_time_millis: 0.88, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 119.8612, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9266, scimark_benchmark: 1863.3902, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.5818, kappa: 0.1112, kb_relative_information_score: 119.5133, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7869, predictive_accuracy: 0.6837, prior_entropy: 0.9312, recall: 0.6837, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9074, scimark_benchmark: 1870.8114, usercpu_time_millis: 1.013, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.889,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4962, f_measure: 0.5165, kb_relative_information_score: 0.3119, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1873.5991, usercpu_time_millis: 1.249, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 1.006,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.7024, kappa: 0.3285, kb_relative_information_score: 125.0462, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7034, predictive_accuracy: 0.715, prior_entropy: 0.9312, recall: 0.715, relative_absolute_error: 0.8776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.9265, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.559, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 1.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9533, kappa: 0.8955, kb_relative_information_score: 474.4774, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9567, predictive_accuracy: 0.9541, prior_entropy: 0.9312, recall: 0.9541, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6334, scimark_benchmark: 1870.288, usercpu_time_millis: 1.642, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.437,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.979, kappa: 0.9532, kb_relative_information_score: 725.0802, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9798, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.417, scimark_benchmark: 1876.2965, usercpu_time_millis: 1.858, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7103, kappa: 0.3548, kb_relative_information_score: 123.1074, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8015, predictive_accuracy: 0.7537, prior_entropy: 0.9312, recall: 0.7537, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.916, scimark_benchmark: 1869.1029, usercpu_time_millis: 1.897, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9747, kappa: 0.9437, kb_relative_information_score: 577.4122, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9759, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.546, scimark_benchmark: 1869.7524, usercpu_time_millis: 2.209, usercpu_time_millis_testing: 0.278, usercpu_time_millis_training: 1.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7813, kappa: 0.5067, kb_relative_information_score: 190.7487, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8353, predictive_accuracy: 0.8038, prior_entropy: 0.9312, recall: 0.8038, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8704, scimark_benchmark: 1876.2965, usercpu_time_millis: 3.65, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 3.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.8832, kappa: 0.7359, kb_relative_information_score: 522.8227, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9054, predictive_accuracy: 0.8894, prior_entropy: 0.9312, recall: 0.8894, relative_absolute_error: 0.5135, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5922, scimark_benchmark: 1872.8797, usercpu_time_millis: 3.887, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 3.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8956, kappa: 0.7644, kb_relative_information_score: 385.1938, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9094, predictive_accuracy: 0.8998, prior_entropy: 0.9312, recall: 0.8998, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6986, scimark_benchmark: 1846.2342, usercpu_time_millis: 4.203, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 3.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 724.4151, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1882, root_relative_squared_error: 0.3954, scimark_benchmark: 1872.4881, usercpu_time_millis: 4.536, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 3.985,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 792.1309, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2132, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.149, root_relative_squared_error: 0.3131, scimark_benchmark: 1862.8928, usercpu_time_millis: 8.659, usercpu_time_millis_testing: 1.175, usercpu_time_millis_training: 7.484,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 749.3525, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.3578, scimark_benchmark: 1874.5958, usercpu_time_millis: 1.372, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 1.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.8832, kappa: 0.7359, kb_relative_information_score: 471.203, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9054, predictive_accuracy: 0.8894, prior_entropy: 0.9312, recall: 0.8894, relative_absolute_error: 0.5724, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6318, scimark_benchmark: 1862.3267, usercpu_time_millis: 7.374, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 6.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 625.2081, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4956, scimark_benchmark: 1866.5348, usercpu_time_millis: 3.172, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 2.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8094, kappa: 0.5691, kb_relative_information_score: 293.9765, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.851, predictive_accuracy: 0.8257, prior_entropy: 0.9312, recall: 0.8257, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.778, scimark_benchmark: 1866.5348, usercpu_time_millis: 5.333, usercpu_time_millis_testing: 0.891, usercpu_time_millis_training: 4.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9694, kappa: 0.9319, kb_relative_information_score: 477.4785, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9708, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6165, scimark_benchmark: 1733.6625, usercpu_time_millis: 7.634, usercpu_time_millis_testing: 1.26, usercpu_time_millis_training: 6.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 699.2546, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4089, scimark_benchmark: 1874.1301, usercpu_time_millis: 5.295, usercpu_time_millis_testing: 0.738, usercpu_time_millis_training: 4.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9167, kappa: 0.8123, kb_relative_information_score: 523.6166, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9284, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.5226, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.276, root_relative_squared_error: 0.58, scimark_benchmark: 1837.949, usercpu_time_millis: 11.857, usercpu_time_millis_testing: 1.984, usercpu_time_millis_training: 9.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9715, kappa: 0.9366, kb_relative_information_score: 650.324, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.973, predictive_accuracy: 0.9718, prior_entropy: 0.9312, recall: 0.9718, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4595, scimark_benchmark: 1874.977, usercpu_time_millis: 13.714, usercpu_time_millis_testing: 2.169, usercpu_time_millis_training: 11.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.939, kappa: 0.8631, kb_relative_information_score: 562.7476, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9455, predictive_accuracy: 0.9405, prior_entropy: 0.9312, recall: 0.9405, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5449, scimark_benchmark: 1868.7112, usercpu_time_millis: 13.061, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 11.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 745.3326, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2731, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.3607, scimark_benchmark: 1859.4255, usercpu_time_millis: 5.176, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 4.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 688.4483, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4112, scimark_benchmark: 1834.8862, usercpu_time_millis: 4.591, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 3.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5165, kb_relative_information_score: 0.8635, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9282, kappa: 0.8389, kb_relative_information_score: 477.1769, mean_absolute_error: 0.2444, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9348, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.6426, scimark_benchmark: 1757.7298, usercpu_time_millis: 2.223, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.5165, kb_relative_information_score: -0.2631, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.543, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8762, kappa: 0.7201, kb_relative_information_score: 487.1696, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8999, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6223, scimark_benchmark: 1845.4263, usercpu_time_millis: 4.67, usercpu_time_millis_testing: 0.751, usercpu_time_millis_training: 3.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.5165, kb_relative_information_score: 68.4869, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9502, scimark_benchmark: 1868.784, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7636, kappa: 0.4664, kb_relative_information_score: 163.4891, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8089, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.851, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8902, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.779, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 2.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5165, kb_relative_information_score: -0.409, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1866.5348, usercpu_time_millis: 0.72, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.6664, kappa: 0.2692, kb_relative_information_score: 154.5265, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8088, predictive_accuracy: 0.7296, prior_entropy: 0.9312, recall: 0.7296, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8854, scimark_benchmark: 1761.5433, usercpu_time_millis: 4.568, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 3.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8404, kappa: 0.639, kb_relative_information_score: 409.5795, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8799, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.6213, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.7008, scimark_benchmark: 1758.5397, usercpu_time_millis: 4.016, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 3.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5165, kb_relative_information_score: -0.6808, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1862.8804, usercpu_time_millis: 0.533, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.5165, kb_relative_information_score: 20.2683, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9843, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.13, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.7986, kappa: 0.5457, kb_relative_information_score: 282.417, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8585, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.783, scimark_benchmark: 1855.7107, usercpu_time_millis: 4.422, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 3.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.5165, kb_relative_information_score: 48.9702, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9614, scimark_benchmark: 1854.3737, usercpu_time_millis: 0.147, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7329, kappa: 0.3957, kb_relative_information_score: 263.074, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7462, predictive_accuracy: 0.7505, prior_entropy: 0.9312, recall: 0.7505, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.8059, scimark_benchmark: 1856.9853, usercpu_time_millis: 2.359, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 2.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 839.9243, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.2866, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.637, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8015, kappa: 0.5515, kb_relative_information_score: 275.5226, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8465, predictive_accuracy: 0.8194, prior_entropy: 0.9312, recall: 0.8194, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7924, scimark_benchmark: 1877.8658, usercpu_time_millis: 0.979, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.6946, kappa: 0.319, kb_relative_information_score: 187.3361, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6923, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.8066, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4141, root_relative_squared_error: 0.8701, scimark_benchmark: 1873.019, usercpu_time_millis: 1.372, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.7758, kappa: 0.4946, kb_relative_information_score: 163.2108, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8323, predictive_accuracy: 0.7996, prior_entropy: 0.9312, recall: 0.7996, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8911, scimark_benchmark: 1874.0573, usercpu_time_millis: 1.744, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.5331, kappa: 0.0274, kb_relative_information_score: 85.9164, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7767, predictive_accuracy: 0.6608, prior_entropy: 0.9312, recall: 0.6608, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9366, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.202, usercpu_time_millis_testing: 0.368, usercpu_time_millis_training: 1.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.784, kappa: 0.5127, kb_relative_information_score: 203.9804, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8368, predictive_accuracy: 0.8058, prior_entropy: 0.9312, recall: 0.8058, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8565, scimark_benchmark: 1885.5928, usercpu_time_millis: 2.921, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 2.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.7866, kappa: 0.5181, kb_relative_information_score: 294.4712, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8333, predictive_accuracy: 0.8069, prior_entropy: 0.9312, recall: 0.8069, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7751, scimark_benchmark: 1871.2001, usercpu_time_millis: 3.041, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 2.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.6834, kappa: 0.2844, kb_relative_information_score: 138.3818, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6858, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.866, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9033, scimark_benchmark: 1870.5885, usercpu_time_millis: 0.684, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.61,

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