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: 0.9941, f_measure: 0.9726, kappa: 0.939, kb_relative_information_score: 549.6642, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9739, predictive_accuracy: 0.9729, prior_entropy: 0.9312, recall: 0.9729, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5664, scimark_benchmark: 1870.2804, usercpu_time_millis: 0.811, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5165, kb_relative_information_score: -0.3386, 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: 1873.5991, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9234, kappa: 0.8277, kb_relative_information_score: 578.8938, mean_absolute_error: 0.2067, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9334, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5391, scimark_benchmark: 1874.0573, usercpu_time_millis: 2.846, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 2.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.6879, kappa: 0.2945, kb_relative_information_score: 142.94, mean_absolute_error: 0.3898, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7052, predictive_accuracy: 0.715, prior_entropy: 0.9312, recall: 0.715, relative_absolute_error: 0.8604, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8956, scimark_benchmark: 1867.0657, usercpu_time_millis: 1.285, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.6906, kappa: 0.3106, kb_relative_information_score: 185.2683, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6884, predictive_accuracy: 0.6942, prior_entropy: 0.9312, recall: 0.6942, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8745, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.895, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9327, kappa: 0.8491, kb_relative_information_score: 442.3056, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.938, predictive_accuracy: 0.9342, prior_entropy: 0.9312, recall: 0.9342, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6534, scimark_benchmark: 1861.8971, usercpu_time_millis: 2.19, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8021, kappa: 0.553, kb_relative_information_score: 225.5488, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8499, predictive_accuracy: 0.8205, prior_entropy: 0.9312, recall: 0.8205, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8365, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.461, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.5165, kb_relative_information_score: 0.152, 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: 1868.2531, usercpu_time_millis: 1.231, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.6918, kappa: 0.3152, kb_relative_information_score: 146.2493, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7837, predictive_accuracy: 0.7401, prior_entropy: 0.9312, recall: 0.7401, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8878, scimark_benchmark: 1873.5991, usercpu_time_millis: 2.621, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 2.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7151, f_measure: 0.5165, kb_relative_information_score: 56.7656, mean_absolute_error: 0.4256, 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: 0.9394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9577, scimark_benchmark: 1874.977, usercpu_time_millis: 2.155, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7537, kappa: 0.4455, kb_relative_information_score: 330.6339, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7556, predictive_accuracy: 0.762, prior_entropy: 0.9312, recall: 0.762, relative_absolute_error: 0.6546, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7658, scimark_benchmark: 1872.0299, usercpu_time_millis: 4.818, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 4.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 780.6415, mean_absolute_error: 0.1012, 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: 0.2233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.3454, scimark_benchmark: 1874.977, usercpu_time_millis: 5.589, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 4.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 683.884, mean_absolute_error: 0.1524, 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: 0.3365, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4429, scimark_benchmark: 1871.2001, usercpu_time_millis: 6.47, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 5.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.6279, kappa: 0.1953, kb_relative_information_score: 90.4006, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7981, predictive_accuracy: 0.7077, prior_entropy: 0.9312, recall: 0.7077, relative_absolute_error: 0.9123, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9377, scimark_benchmark: 1750.1543, usercpu_time_millis: 0.694, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5014, f_measure: 0.5165, kb_relative_information_score: -0.5091, 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: 1745.4881, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.5165, kb_relative_information_score: 41.6367, mean_absolute_error: 0.436, 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: 0.9625, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9658, scimark_benchmark: 1742.5561, usercpu_time_millis: 2.051, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 1.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 108.2842, mean_absolute_error: 0.407, 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: 0.8984, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9383, scimark_benchmark: 1748.8645, usercpu_time_millis: 0.753, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.979, kappa: 0.9532, kb_relative_information_score: 519.5325, mean_absolute_error: 0.2396, 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: 0.529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.5813, scimark_benchmark: 1870.2804, usercpu_time_millis: 4.853, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 4.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.706, kappa: 0.3482, kb_relative_information_score: 209.9616, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8179, predictive_accuracy: 0.7537, prior_entropy: 0.9312, recall: 0.7537, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.8399, scimark_benchmark: 1128.0537, usercpu_time_millis: 2.475, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 2.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7206, kappa: 0.3765, kb_relative_information_score: 170.1103, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8091, predictive_accuracy: 0.761, prior_entropy: 0.9312, recall: 0.761, relative_absolute_error: 0.8573, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8758, scimark_benchmark: 1873.6399, usercpu_time_millis: 2.604, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 2.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8772, kappa: 0.7224, kb_relative_information_score: 460.2219, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9016, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6417, scimark_benchmark: 1869.8223, usercpu_time_millis: 5.445, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 4.581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9546, kappa: 0.8988, kb_relative_information_score: 731.0038, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9561, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4273, scimark_benchmark: 1869.8223, usercpu_time_millis: 4.385, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 3.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.5165, kb_relative_information_score: -0.6287, 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: 1.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.123, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.5165, kb_relative_information_score: 0.0316, 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: 1869.2422, usercpu_time_millis: 0.148, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 802.917, mean_absolute_error: 0.0902, 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: 0.1992, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.305, scimark_benchmark: 1868.7112, usercpu_time_millis: 9.702, usercpu_time_millis_testing: 1.183, usercpu_time_millis_training: 8.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9597, kappa: 0.91, kb_relative_information_score: 677.2561, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9626, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4425, scimark_benchmark: 1874.0573, usercpu_time_millis: 5.894, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 5.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9629, kappa: 0.9173, kb_relative_information_score: 705.5589, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9654, predictive_accuracy: 0.9635, prior_entropy: 0.9312, recall: 0.9635, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4182, scimark_benchmark: 1868.2531, usercpu_time_millis: 6.596, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 5.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 748.5843, mean_absolute_error: 0.1206, 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: 0.2661, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3679, scimark_benchmark: 1869.7524, usercpu_time_millis: 6.423, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 5.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.5165, kb_relative_information_score: 55.326, mean_absolute_error: 0.4325, 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: 0.9547, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9588, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.071, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.5165, kb_relative_information_score: 68.7123, mean_absolute_error: 0.4182, 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: 0.9231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9558, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.286, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 131.3267, mean_absolute_error: 0.3949, 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: 0.8718, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9316, scimark_benchmark: 1868.0738, usercpu_time_millis: 1.61, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 828.562, mean_absolute_error: 0.0748, 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: 0.1651, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2837, scimark_benchmark: 1869.2422, usercpu_time_millis: 1.229, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7169, kappa: 0.3594, kb_relative_information_score: 189.0432, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7305, predictive_accuracy: 0.737, prior_entropy: 0.9312, recall: 0.737, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8614, scimark_benchmark: 1867.685, usercpu_time_millis: 1.386, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.7833, kappa: 0.5101, kb_relative_information_score: 281.3063, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8188, predictive_accuracy: 0.8017, prior_entropy: 0.9312, recall: 0.8017, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7874, scimark_benchmark: 1871.9601, usercpu_time_millis: 2.952, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 2.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5165, kb_relative_information_score: -0.2757, 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: 1872.4881, usercpu_time_millis: 1.147, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.676, kappa: 0.2791, kb_relative_information_score: 118.5002, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7511, predictive_accuracy: 0.7255, prior_entropy: 0.9312, recall: 0.7255, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9106, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.837, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.8496, kappa: 0.6597, kb_relative_information_score: 372.4691, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8765, predictive_accuracy: 0.8591, prior_entropy: 0.9312, recall: 0.8591, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.7157, scimark_benchmark: 1876.2965, usercpu_time_millis: 2.855, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 2.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.979, kappa: 0.9532, kb_relative_information_score: 715.851, mean_absolute_error: 0.135, 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: 0.298, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4205, scimark_benchmark: 1862.82, usercpu_time_millis: 0.735, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9298, kappa: 0.843, kb_relative_information_score: 586.2872, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9331, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5515, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.118, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 0.091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.8843, kappa: 0.7386, kb_relative_information_score: 513.4676, mean_absolute_error: 0.2352, 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: 0.5192, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.288, root_relative_squared_error: 0.6052, scimark_benchmark: 1863.7397, usercpu_time_millis: 1.484, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7382, kappa: 0.4093, kb_relative_information_score: 312.188, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.742, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7762, scimark_benchmark: 1854.4951, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.778, kappa: 0.4992, kb_relative_information_score: 190.1852, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8301, predictive_accuracy: 0.8006, prior_entropy: 0.9312, recall: 0.8006, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8738, scimark_benchmark: 1861.2508, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9123, kappa: 0.8032, kb_relative_information_score: 623.734, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9176, predictive_accuracy: 0.9144, prior_entropy: 0.9312, recall: 0.9144, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.5335, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.618, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 2.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.7862, kappa: 0.5167, kb_relative_information_score: 286.5152, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8245, predictive_accuracy: 0.8048, prior_entropy: 0.9312, recall: 0.8048, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.783, scimark_benchmark: 1874.1301, usercpu_time_millis: 2.725, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 2.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8253, kappa: 0.6047, kb_relative_information_score: 338.0492, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8532, predictive_accuracy: 0.8372, prior_entropy: 0.9312, recall: 0.8372, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7422, scimark_benchmark: 1847.8034, usercpu_time_millis: 1.955, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.726,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.5165, kb_relative_information_score: 66.0091, mean_absolute_error: 0.4213, 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: 0.93, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9531, scimark_benchmark: 1868.7691, usercpu_time_millis: 0.421, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.6521, kappa: 0.2414, kb_relative_information_score: 142.0035, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8046, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8947, scimark_benchmark: 1844.6953, usercpu_time_millis: 1.368, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 781.5412, 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: 0.1559, root_relative_squared_error: 0.3277, scimark_benchmark: 1869.1029, usercpu_time_millis: 7.718, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 6.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.6886, kappa: 0.3011, kb_relative_information_score: 207.3287, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6861, predictive_accuracy: 0.6962, prior_entropy: 0.9312, recall: 0.6962, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8551, scimark_benchmark: 1857.4999, usercpu_time_millis: 1.183, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 1.057,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 660.7385, mean_absolute_error: 0.168, 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: 0.3708, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4559, scimark_benchmark: 1869.8223, usercpu_time_millis: 2.757, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 2.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7846, kappa: 0.5142, kb_relative_information_score: 197.8078, mean_absolute_error: 0.373, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8405, predictive_accuracy: 0.8069, prior_entropy: 0.9312, recall: 0.8069, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8666, scimark_benchmark: 1864.9656, usercpu_time_millis: 1.512, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.32,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8784, kappa: 0.7251, kb_relative_information_score: 502.8028, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9023, predictive_accuracy: 0.8852, prior_entropy: 0.9312, recall: 0.8852, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.6243, scimark_benchmark: 1869.1727, usercpu_time_millis: 4.239, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 3.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9223, kappa: 0.8252, kb_relative_information_score: 595.5889, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9326, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.4373, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5243, scimark_benchmark: 1863.9794, usercpu_time_millis: 1.411, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 673.1907, mean_absolute_error: 0.1647, 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: 0.3636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.424, scimark_benchmark: 1857.1082, usercpu_time_millis: 3.936, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 3.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 595.421, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.5195, scimark_benchmark: 1860.2646, usercpu_time_millis: 4.017, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 3.47,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5165, kb_relative_information_score: 0.1478, 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: 1861.834, usercpu_time_millis: 1.531, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.6956, kappa: 0.3126, kb_relative_information_score: 191.9822, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6971, predictive_accuracy: 0.7098, prior_entropy: 0.9312, recall: 0.7098, relative_absolute_error: 0.8091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4106, root_relative_squared_error: 0.8629, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.048, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 72.8154, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7753, predictive_accuracy: 0.6576, prior_entropy: 0.9312, recall: 0.6576, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9465, scimark_benchmark: 1870.9126, usercpu_time_millis: 1.467, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8765, kappa: 0.7209, kb_relative_information_score: 398.722, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8981, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.7018, scimark_benchmark: 1868.9276, usercpu_time_millis: 3.536, usercpu_time_millis_testing: 0.431, usercpu_time_millis_training: 3.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.6815, kappa: 0.2831, kb_relative_information_score: 117.2197, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6795, predictive_accuracy: 0.6921, prior_entropy: 0.9312, recall: 0.6921, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9219, scimark_benchmark: 1862.5409, usercpu_time_millis: 0.861, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.5165, kb_relative_information_score: 56.2881, mean_absolute_error: 0.4257, 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: 0.9397, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9581, scimark_benchmark: 1860.7215, usercpu_time_millis: 0.999, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8332, kappa: 0.6226, kb_relative_information_score: 322.0695, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8676, predictive_accuracy: 0.8455, prior_entropy: 0.9312, recall: 0.8455, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7541, scimark_benchmark: 1865.0384, usercpu_time_millis: 0.664, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7505, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 134.9021, mean_absolute_error: 0.3931, 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: 0.8677, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9242, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.413, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 122.2342, mean_absolute_error: 0.3993, 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: 0.8814, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9241, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.445, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.5165, kb_relative_information_score: -0.1309, 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: 1863.9794, usercpu_time_millis: 0.801, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5165, kb_relative_information_score: -0.1398, 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: 1871.5019, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 693.6273, mean_absolute_error: 0.1483, 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: 0.3273, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4379, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.723, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.5165, kb_relative_information_score: 42.6604, mean_absolute_error: 0.4363, 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: 0.963, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9662, scimark_benchmark: 1874.977, usercpu_time_millis: 1.147, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8469, kappa: 0.6536, kb_relative_information_score: 356.1555, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.876, predictive_accuracy: 0.857, prior_entropy: 0.9312, recall: 0.857, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.729, scimark_benchmark: 1867.1999, usercpu_time_millis: 2.231, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 1.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.7579, kappa: 0.4559, kb_relative_information_score: 203.1901, mean_absolute_error: 0.3746, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.827, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8495, scimark_benchmark: 1876.2965, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 721.1088, mean_absolute_error: 0.1377, 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: 0.304, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3793, scimark_benchmark: 1877.4076, usercpu_time_millis: 2.715, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 2.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.1546, 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: 1853.3841, usercpu_time_millis: 1.613, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8449, kappa: 0.6491, kb_relative_information_score: 360.5429, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8724, predictive_accuracy: 0.8549, prior_entropy: 0.9312, recall: 0.8549, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.345, root_relative_squared_error: 0.725, scimark_benchmark: 1857.5664, usercpu_time_millis: 1.703, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9268, kappa: 0.8354, kb_relative_information_score: 585.1628, mean_absolute_error: 0.2049, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.936, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5302, scimark_benchmark: 1868.1832, usercpu_time_millis: 2.335, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 2.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9192, kappa: 0.8183, kb_relative_information_score: 433.4545, mean_absolute_error: 0.2699, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9284, predictive_accuracy: 0.9217, prior_entropy: 0.9312, recall: 0.9217, relative_absolute_error: 0.5958, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6691, scimark_benchmark: 1846.6923, usercpu_time_millis: 1.845, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 1.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.7918, kappa: 0.53, kb_relative_information_score: 279.2521, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8427, predictive_accuracy: 0.8121, prior_entropy: 0.9312, recall: 0.8121, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.374, root_relative_squared_error: 0.786, scimark_benchmark: 1862.7935, usercpu_time_millis: 4.998, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 4.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8652, kappa: 0.6951, kb_relative_information_score: 413.3302, mean_absolute_error: 0.2862, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8876, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6317, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6811, scimark_benchmark: 1863.8525, usercpu_time_millis: 5.052, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 4.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7806, kappa: 0.5064, kb_relative_information_score: 291.4595, mean_absolute_error: 0.3298, 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: 0.7279, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.8015, scimark_benchmark: 1860.7926, usercpu_time_millis: 2.577, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 2.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.7159, kappa: 0.359, kb_relative_information_score: 150.6293, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7175, predictive_accuracy: 0.7276, prior_entropy: 0.9312, recall: 0.7276, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9123, scimark_benchmark: 1865.5486, usercpu_time_millis: 2.789, usercpu_time_millis_testing: 0.559, usercpu_time_millis_training: 2.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.6786, kappa: 0.2793, kb_relative_information_score: 179.9629, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6756, predictive_accuracy: 0.6858, prior_entropy: 0.9312, recall: 0.6858, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8822, scimark_benchmark: 1871.5019, usercpu_time_millis: 3.348, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 2.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.6929, kappa: 0.3073, kb_relative_information_score: 136.7086, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7219, predictive_accuracy: 0.7244, prior_entropy: 0.9312, recall: 0.7244, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8997, scimark_benchmark: 1870.3054, usercpu_time_millis: 1.158, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9586, kappa: 0.9076, kb_relative_information_score: 678.329, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9617, predictive_accuracy: 0.9593, prior_entropy: 0.9312, recall: 0.9593, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4417, scimark_benchmark: 1860.2646, usercpu_time_millis: 3.35, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 2.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.5284, kappa: 0.0196, kb_relative_information_score: 85.2306, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7758, predictive_accuracy: 0.6587, prior_entropy: 0.9312, recall: 0.6587, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9373, scimark_benchmark: 1870.5981, usercpu_time_millis: 1.934, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 748.683, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.2441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4205, scimark_benchmark: 1873.0711, usercpu_time_millis: 2.278, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 2.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.5776, kappa: 0.1037, kb_relative_information_score: 86.3666, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7859, predictive_accuracy: 0.6816, prior_entropy: 0.9312, recall: 0.6816, relative_absolute_error: 0.9192, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9384, scimark_benchmark: 1869.3857, usercpu_time_millis: 1.909, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8439, kappa: 0.6469, kb_relative_information_score: 337.3091, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8766, predictive_accuracy: 0.8549, prior_entropy: 0.9312, recall: 0.8549, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7428, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.444, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5165, kb_relative_information_score: -0.5277, mean_absolute_error: 0.4527, 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: 0.9993, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.378, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.6784, kappa: 0.2747, kb_relative_information_score: 108.4845, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.677, predictive_accuracy: 0.691, prior_entropy: 0.9312, recall: 0.691, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9296, scimark_benchmark: 1873.9387, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.814,

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