OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111517 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: 0.4962, f_measure: 0.5165, kb_relative_information_score: 0.1461, 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: 1871.5019, usercpu_time_millis: 0.488, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5165, kb_relative_information_score: -0.7281, 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: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1857.5664, usercpu_time_millis: 0.628, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9715, kappa: 0.9366, kb_relative_information_score: 694.1663, mean_absolute_error: 0.1495, 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: 0.3301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4212, scimark_benchmark: 1856.5802, usercpu_time_millis: 9.78, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 8.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9301, kappa: 0.843, kb_relative_information_score: 617.9469, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9385, predictive_accuracy: 0.9322, prior_entropy: 0.9312, recall: 0.9322, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5028, scimark_benchmark: 1871.5019, usercpu_time_millis: 9.864, usercpu_time_millis_testing: 1.378, usercpu_time_millis_training: 8.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.5165, kb_relative_information_score: -0.5097, 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: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1874.977, usercpu_time_millis: 0.9, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9202, kappa: 0.8203, kb_relative_information_score: 591.451, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9303, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5352, scimark_benchmark: 1874.1301, usercpu_time_millis: 0.628, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8283, kappa: 0.6117, kb_relative_information_score: 367.6271, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8483, predictive_accuracy: 0.8382, prior_entropy: 0.9312, recall: 0.8382, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.7286, scimark_benchmark: 1866.9963, usercpu_time_millis: 3.637, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 3.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.6992, kappa: 0.3204, kb_relative_information_score: 124.4827, mean_absolute_error: 0.3979, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7017, predictive_accuracy: 0.714, prior_entropy: 0.9312, recall: 0.714, relative_absolute_error: 0.8783, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.9235, scimark_benchmark: 1856.7258, usercpu_time_millis: 1.411, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8879, kappa: 0.7466, kb_relative_information_score: 507.6377, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9084, predictive_accuracy: 0.8935, prior_entropy: 0.9312, recall: 0.8935, relative_absolute_error: 0.533, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.602, scimark_benchmark: 1872.4881, usercpu_time_millis: 6.348, usercpu_time_millis_testing: 0.964, usercpu_time_millis_training: 5.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 705.7135, mean_absolute_error: 0.1451, 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: 0.3202, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4019, scimark_benchmark: 1857.5664, usercpu_time_millis: 1.29, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8467, f_measure: 0.7857, kappa: 0.5171, kb_relative_information_score: 269.9085, mean_absolute_error: 0.3399, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8485, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.7502, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.8138, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.903, usercpu_time_millis_testing: 0.127, usercpu_time_millis_training: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 109.767, mean_absolute_error: 0.4063, 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: 0.8969, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9394, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.707, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7511, kappa: 0.4373, kb_relative_information_score: 312.4942, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7617, predictive_accuracy: 0.7651, prior_entropy: 0.9312, recall: 0.7651, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7738, scimark_benchmark: 1842.6679, usercpu_time_millis: 4.146, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 3.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.7871, kappa: 0.5201, kb_relative_information_score: 270.9209, mean_absolute_error: 0.3397, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8492, predictive_accuracy: 0.81, prior_entropy: 0.9312, recall: 0.81, relative_absolute_error: 0.7499, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8129, scimark_benchmark: 1849.1221, usercpu_time_millis: 4.277, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 3.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 769.2338, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.2371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.3592, scimark_benchmark: 1870.2804, usercpu_time_millis: 1.967, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.5165, kb_relative_information_score: -2.9532, mean_absolute_error: 0.4536, 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: 1.0014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.597, kappa: 0.1365, kb_relative_information_score: 104.6846, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7725, predictive_accuracy: 0.69, prior_entropy: 0.9312, recall: 0.69, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9179, scimark_benchmark: 1853.9849, usercpu_time_millis: 2.332, usercpu_time_millis_testing: 0.395, usercpu_time_millis_training: 1.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 839.7659, mean_absolute_error: 0.0673, 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: 0.1486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.131, root_relative_squared_error: 0.2754, scimark_benchmark: 1825.2596, usercpu_time_millis: 4.636, usercpu_time_millis_testing: 0.563, usercpu_time_millis_training: 4.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.7117, kappa: 0.3603, kb_relative_information_score: 195.0024, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8233, predictive_accuracy: 0.7578, prior_entropy: 0.9312, recall: 0.7578, relative_absolute_error: 0.841, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.854, scimark_benchmark: 1852.0126, usercpu_time_millis: 4.774, usercpu_time_millis_testing: 0.762, usercpu_time_millis_training: 4.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8714, kappa: 0.7092, kb_relative_information_score: 426.4032, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8969, predictive_accuracy: 0.8789, prior_entropy: 0.9312, recall: 0.8789, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6695, scimark_benchmark: 1854.4282, usercpu_time_millis: 2.29, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9514, kappa: 0.8917, kb_relative_information_score: 722.8178, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.953, predictive_accuracy: 0.952, prior_entropy: 0.9312, recall: 0.952, relative_absolute_error: 0.2765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.438, scimark_benchmark: 1868.2531, usercpu_time_millis: 12.748, usercpu_time_millis_testing: 1.576, usercpu_time_millis_training: 11.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 824.4013, mean_absolute_error: 0.077, 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: 0.17, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.2845, scimark_benchmark: 1844.7605, usercpu_time_millis: 12.509, usercpu_time_millis_testing: 1.765, usercpu_time_millis_training: 10.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5165, kb_relative_information_score: -0.0002, 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: 1859.4255, usercpu_time_millis: 1.632, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9758, kappa: 0.9461, kb_relative_information_score: 489.9209, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9768, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.5647, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6051, scimark_benchmark: 1857.1082, usercpu_time_millis: 3.975, usercpu_time_millis_testing: 0.624, usercpu_time_millis_training: 3.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8728, kappa: 0.7124, kb_relative_information_score: 497.17, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8967, predictive_accuracy: 0.88, prior_entropy: 0.9312, recall: 0.88, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6334, scimark_benchmark: 1862.3618, usercpu_time_millis: 4.578, usercpu_time_millis_testing: 0.6, usercpu_time_millis_training: 3.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.8843, kappa: 0.7386, kb_relative_information_score: 526.1882, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9061, predictive_accuracy: 0.8904, prior_entropy: 0.9312, recall: 0.8904, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5916, scimark_benchmark: 1853.4779, usercpu_time_millis: 7.258, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 6.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9628, f_measure: 0.7464, kappa: 0.4325, kb_relative_information_score: 241.0198, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8335, predictive_accuracy: 0.7808, prior_entropy: 0.9312, recall: 0.7808, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.8182, scimark_benchmark: 1862.3618, usercpu_time_millis: 4.775, usercpu_time_millis_testing: 0.764, usercpu_time_millis_training: 4.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.5165, kb_relative_information_score: 0.133, 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: 1872.4881, usercpu_time_millis: 1.505, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 581.3394, mean_absolute_error: 0.2121, 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: 0.4683, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5152, scimark_benchmark: 1860.7926, usercpu_time_millis: 4.33, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 3.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8611, kappa: 0.6859, kb_relative_information_score: 383.9826, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8871, predictive_accuracy: 0.8695, prior_entropy: 0.9312, recall: 0.8695, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7041, scimark_benchmark: 1860.6133, usercpu_time_millis: 4.739, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 3.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 799.8154, mean_absolute_error: 0.0927, 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: 0.2047, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.3023, scimark_benchmark: 1869.2942, usercpu_time_millis: 8.103, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 7.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9167, kappa: 0.8123, kb_relative_information_score: 597.5067, mean_absolute_error: 0.197, 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: 0.4349, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.5231, scimark_benchmark: 1850.3516, usercpu_time_millis: 8.246, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 7.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.7616, kappa: 0.4607, kb_relative_information_score: 274.1193, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7859, predictive_accuracy: 0.7797, prior_entropy: 0.9312, recall: 0.7797, relative_absolute_error: 0.733, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7948, scimark_benchmark: 1872.5609, usercpu_time_millis: 2.111, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.8814, kappa: 0.7321, kb_relative_information_score: 443.2813, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9004, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.6055, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.653, scimark_benchmark: 1874.1301, usercpu_time_millis: 2.926, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 2.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.6461, kappa: 0.2278, kb_relative_information_score: 114.1363, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7872, predictive_accuracy: 0.7161, prior_entropy: 0.9312, recall: 0.7161, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9175, scimark_benchmark: 1836.0792, usercpu_time_millis: 0.483, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.403,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.7405, kappa: 0.4131, kb_relative_information_score: 172.7194, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7659, predictive_accuracy: 0.762, prior_entropy: 0.9312, recall: 0.762, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8906, scimark_benchmark: 1825.2596, usercpu_time_millis: 3.487, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 2.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8068, kappa: 0.5632, kb_relative_information_score: 316.3882, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8495, predictive_accuracy: 0.8236, prior_entropy: 0.9312, recall: 0.8236, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7583, scimark_benchmark: 1816.1713, usercpu_time_millis: 4.298, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 3.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.6424, kappa: 0.2163, kb_relative_information_score: 110.4314, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7551, predictive_accuracy: 0.7098, prior_entropy: 0.9312, recall: 0.7098, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9174, scimark_benchmark: 1843.1989, usercpu_time_millis: 1.835, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 816.7013, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.3064, scimark_benchmark: 1821.3322, usercpu_time_millis: 4.831, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 4.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6964, kappa: 0.3183, kb_relative_information_score: 128.1155, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.745, predictive_accuracy: 0.7338, prior_entropy: 0.9312, recall: 0.7338, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4309, root_relative_squared_error: 0.9054, scimark_benchmark: 1869.2942, usercpu_time_millis: 2.175, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9864, kappa: 0.9698, kb_relative_information_score: 551.3, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9865, predictive_accuracy: 0.9864, prior_entropy: 0.9312, recall: 0.9864, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.5583, scimark_benchmark: 1818.9456, usercpu_time_millis: 5.717, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 4.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 646.6479, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4685, scimark_benchmark: 1825.1897, usercpu_time_millis: 3.903, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 3.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.7795, kappa: 0.5029, kb_relative_information_score: 232.5383, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8361, predictive_accuracy: 0.8027, prior_entropy: 0.9312, recall: 0.8027, relative_absolute_error: 0.8031, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8268, scimark_benchmark: 1838.5681, usercpu_time_millis: 4.651, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 3.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.7806, kappa: 0.5064, kb_relative_information_score: 272.3529, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8503, predictive_accuracy: 0.8058, prior_entropy: 0.9312, recall: 0.8058, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7911, scimark_benchmark: 1872.0299, usercpu_time_millis: 5.301, usercpu_time_millis_testing: 0.91, usercpu_time_millis_training: 4.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7613, kappa: 0.4617, kb_relative_information_score: 212.3871, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8106, predictive_accuracy: 0.786, prior_entropy: 0.9312, recall: 0.786, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8624, scimark_benchmark: 1871.4349, usercpu_time_millis: 3.055, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 2.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.5165, kb_relative_information_score: -0.4044, 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: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1866.2865, usercpu_time_millis: 1.098, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 822.708, mean_absolute_error: 0.0779, 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: 0.1721, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.2933, scimark_benchmark: 1821.8602, usercpu_time_millis: 4.886, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 4.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9159, kappa: 0.8109, kb_relative_information_score: 429.6871, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9252, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6681, scimark_benchmark: 1883.5517, usercpu_time_millis: 1.023, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5165, kb_relative_information_score: -0.4392, 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: 1871.0479, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 711.1467, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9847, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4116, scimark_benchmark: 1752.1666, usercpu_time_millis: 4.691, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 3.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8329, kappa: 0.622, kb_relative_information_score: 320.285, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8688, predictive_accuracy: 0.8455, prior_entropy: 0.9312, recall: 0.8455, relative_absolute_error: 0.721, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7536, scimark_benchmark: 1823.7025, usercpu_time_millis: 1.008, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5165, kb_relative_information_score: -0.2763, 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: 1826.6374, usercpu_time_millis: 1.576, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5165, kb_relative_information_score: 0.1849, 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: 1820.7612, usercpu_time_millis: 1.716, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9144, kappa: 0.8071, kb_relative_information_score: 588.415, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9268, predictive_accuracy: 0.9175, prior_entropy: 0.9312, recall: 0.9175, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5323, scimark_benchmark: 1867.7991, usercpu_time_millis: 6.446, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 5.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5165, kb_relative_information_score: 0.1592, 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: 1826.2487, usercpu_time_millis: 1.758, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.6879, kappa: 0.3026, kb_relative_information_score: 122.178, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7529, predictive_accuracy: 0.7317, prior_entropy: 0.9312, recall: 0.7317, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.9091, scimark_benchmark: 1833.5175, usercpu_time_millis: 1.74, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8486, kappa: 0.6575, kb_relative_information_score: 357.9599, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8748, predictive_accuracy: 0.858, prior_entropy: 0.9312, recall: 0.858, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.7246, scimark_benchmark: 1832.6707, usercpu_time_millis: 6.406, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 5.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9779, kappa: 0.9509, kb_relative_information_score: 542.0676, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9788, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.273, root_relative_squared_error: 0.5737, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.8, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.838, kappa: 0.6334, kb_relative_information_score: 334.1092, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8717, predictive_accuracy: 0.8497, prior_entropy: 0.9312, recall: 0.8497, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7529, scimark_benchmark: 1823.238, usercpu_time_millis: 2.157, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.6954, kappa: 0.3271, kb_relative_information_score: 210.1564, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8178, predictive_accuracy: 0.7474, prior_entropy: 0.9312, recall: 0.7474, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8397, scimark_benchmark: 1871.9601, usercpu_time_millis: 3.103, usercpu_time_millis_testing: 0.47, usercpu_time_millis_training: 2.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.7085, kappa: 0.3537, kb_relative_information_score: 195.4742, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8222, predictive_accuracy: 0.7557, prior_entropy: 0.9312, recall: 0.7557, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8535, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.756, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.6927, kappa: 0.3089, kb_relative_information_score: 114.097, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7335, predictive_accuracy: 0.7286, prior_entropy: 0.9312, recall: 0.7286, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9264, scimark_benchmark: 1872.8797, usercpu_time_millis: 1.016, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.8417, kappa: 0.6418, kb_relative_information_score: 349.9135, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.874, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7394, scimark_benchmark: 1832.0698, usercpu_time_millis: 2.152, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9349, kappa: 0.8539, kb_relative_information_score: 651.7078, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9402, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.3624, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4923, scimark_benchmark: 1832.6707, usercpu_time_millis: 8.459, usercpu_time_millis_testing: 1.073, usercpu_time_millis_training: 7.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 756.7254, mean_absolute_error: 0.116, 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: 0.2561, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.17, root_relative_squared_error: 0.3572, scimark_benchmark: 1872.4881, usercpu_time_millis: 8.794, usercpu_time_millis_testing: 1.269, usercpu_time_millis_training: 7.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9864, kappa: 0.9698, kb_relative_information_score: 754.5081, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9867, predictive_accuracy: 0.9864, prior_entropy: 0.9312, recall: 0.9864, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.377, scimark_benchmark: 1861.8338, usercpu_time_millis: 3.828, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 3.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8558, kappa: 0.6739, kb_relative_information_score: 381.5765, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8861, predictive_accuracy: 0.8653, prior_entropy: 0.9312, recall: 0.8653, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.7105, scimark_benchmark: 1872.6159, usercpu_time_millis: 3.874, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 3.336,

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