Task
Supervised Classification on squash-unstored

Supervised Classification on squash-unstored

Task 4553 Supervised Classification squash-unstored 191 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

191 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7194, kappa: 0.4361, kb_relative_information_score: 168.862, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7198, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9753, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.9611, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.388, root_relative_squared_error: 0.7783, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7407, kappa: 0.4797, kb_relative_information_score: 239.6042, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.742, predictive_accuracy: 0.7404, prior_entropy: 0.996, recall: 0.7404, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9633, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 941.3142, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.5557, kappa: 0.1082, kb_relative_information_score: 31.6167, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.559, predictive_accuracy: 0.5635, prior_entropy: 0.996, recall: 0.5635, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5238, root_relative_squared_error: 1.0506, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7554, kappa: 0.5075, kb_relative_information_score: 212.4211, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7598, predictive_accuracy: 0.7577, prior_entropy: 0.996, recall: 0.7577, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7778, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7188, kappa: 0.4338, kb_relative_information_score: 188.7674, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7188, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9722, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7964, kappa: 0.59, kb_relative_information_score: 152.2569, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8006, predictive_accuracy: 0.7981, prior_entropy: 0.996, recall: 0.7981, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8072, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7964, kappa: 0.59, kb_relative_information_score: 152.2569, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8006, predictive_accuracy: 0.7981, prior_entropy: 0.996, recall: 0.7981, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8072, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7194, kappa: 0.4361, kb_relative_information_score: 168.862, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7198, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9753, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.8937, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7782, scimark_benchmark: 901.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7407, kappa: 0.4797, kb_relative_information_score: 239.6042, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.742, predictive_accuracy: 0.7404, prior_entropy: 0.996, recall: 0.7404, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9633, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 940.1221, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 859.5223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6981, kappa: 0.3927, kb_relative_information_score: 176.7835, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6982, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9892, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.5557, kappa: 0.1082, kb_relative_information_score: 31.6167, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.559, predictive_accuracy: 0.5635, prior_entropy: 0.996, recall: 0.5635, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5238, root_relative_squared_error: 1.0506, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7554, kappa: 0.5075, kb_relative_information_score: 212.4211, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7598, predictive_accuracy: 0.7577, prior_entropy: 0.996, recall: 0.7577, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7778, scimark_benchmark: 763.3895, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7188, kappa: 0.4338, kb_relative_information_score: 188.7674, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7188, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9722, scimark_benchmark: 936.3213, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7964, kappa: 0.59, kb_relative_information_score: 152.2569, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8006, predictive_accuracy: 0.7981, prior_entropy: 0.996, recall: 0.7981, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8072, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7828, kappa: 0.5634, kb_relative_information_score: 193.0683, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7831, predictive_accuracy: 0.7827, prior_entropy: 0.996, recall: 0.7827, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.7624, scimark_benchmark: 1051.249, usercpu_time_millis: 940, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7962, kappa: 0.5901, kb_relative_information_score: 189.4921, mean_absolute_error: 0.3347, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7963, predictive_accuracy: 0.7962, prior_entropy: 0.996, recall: 0.7962, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7728, scimark_benchmark: 859.5223, usercpu_time_millis: 430, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.7867, kappa: 0.5712, kb_relative_information_score: 187.5194, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.787, predictive_accuracy: 0.7865, prior_entropy: 0.996, recall: 0.7865, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.7774, scimark_benchmark: 941.3057, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7594, kappa: 0.5156, kb_relative_information_score: 192.4048, mean_absolute_error: 0.3304, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7594, predictive_accuracy: 0.7596, prior_entropy: 0.996, recall: 0.7596, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7778, scimark_benchmark: 939.3535, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8421, f_measure: 0.7422, kappa: 0.4812, kb_relative_information_score: 185.4737, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7422, predictive_accuracy: 0.7423, prior_entropy: 0.996, recall: 0.7423, relative_absolute_error: 0.6692, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8085, scimark_benchmark: 942.5233, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7798, kappa: 0.5563, kb_relative_information_score: 294.3724, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7811, predictive_accuracy: 0.7808, prior_entropy: 0.996, recall: 0.7808, relative_absolute_error: 0.4318, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7776, kappa: 0.552, kb_relative_information_score: 290.0383, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7795, predictive_accuracy: 0.7788, prior_entropy: 0.996, recall: 0.7788, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.909, scimark_benchmark: 930.0565, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.789, kappa: 0.5749, kb_relative_information_score: 297.2368, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7919, predictive_accuracy: 0.7904, prior_entropy: 0.996, recall: 0.7904, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.8902, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7868, kappa: 0.5706, kb_relative_information_score: 291.8929, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7905, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.4411, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8739, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7741, kappa: 0.5447, kb_relative_information_score: 271.48, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7752, predictive_accuracy: 0.775, prior_entropy: 0.996, recall: 0.775, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.8676, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4196, f_measure: 0.3769, kb_relative_information_score: -1.9424, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0027, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7871, kappa: 0.5711, kb_relative_information_score: 296.4238, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7898, predictive_accuracy: 0.7885, prior_entropy: 0.996, recall: 0.7885, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9067, scimark_benchmark: 936.7286, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7839, kappa: 0.5646, kb_relative_information_score: 294.4962, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7847, predictive_accuracy: 0.7846, prior_entropy: 0.996, recall: 0.7846, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9012, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7741, kappa: 0.5447, kb_relative_information_score: 282.4254, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7752, predictive_accuracy: 0.775, prior_entropy: 0.996, recall: 0.775, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9189, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7738, kappa: 0.5442, kb_relative_information_score: 279.3471, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7756, predictive_accuracy: 0.775, prior_entropy: 0.996, recall: 0.775, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.8952, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7334, kappa: 0.4629, kb_relative_information_score: 237.5079, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7344, predictive_accuracy: 0.7346, prior_entropy: 0.996, recall: 0.7346, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9537, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7049, kappa: 0.4059, kb_relative_information_score: 180.3538, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7083, predictive_accuracy: 0.7077, prior_entropy: 0.996, recall: 0.7077, relative_absolute_error: 0.6677, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9949, scimark_benchmark: 906.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.6816, kappa: 0.359, kb_relative_information_score: 69.6745, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6846, predictive_accuracy: 0.6846, prior_entropy: 0.996, recall: 0.6846, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9186, scimark_benchmark: 894.7131, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.5562, kappa: 0.1247, kb_relative_information_score: 28.7015, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.5679, predictive_accuracy: 0.5577, prior_entropy: 0.996, recall: 0.5577, relative_absolute_error: 0.9496, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0085, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7194, kappa: 0.4361, kb_relative_information_score: 168.862, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7198, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9753, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.8937, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7782, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7407, kappa: 0.4797, kb_relative_information_score: 239.6042, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.742, predictive_accuracy: 0.7404, prior_entropy: 0.996, recall: 0.7404, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9633, scimark_benchmark: 869.7548, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 938.5476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6981, kappa: 0.3927, kb_relative_information_score: 176.7835, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6982, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9892, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.5557, kappa: 0.1082, kb_relative_information_score: 31.6167, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.559, predictive_accuracy: 0.5635, prior_entropy: 0.996, recall: 0.5635, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5238, root_relative_squared_error: 1.0506, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7554, kappa: 0.5075, kb_relative_information_score: 212.4211, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7598, predictive_accuracy: 0.7577, prior_entropy: 0.996, recall: 0.7577, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7778, scimark_benchmark: 921.2792, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 949.7766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7188, kappa: 0.4338, kb_relative_information_score: 188.7674, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7188, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9722, scimark_benchmark: 890.5596, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7964, kappa: 0.59, kb_relative_information_score: 152.2569, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8006, predictive_accuracy: 0.7981, prior_entropy: 0.996, recall: 0.7981, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8072, scimark_benchmark: 928.8135, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6776, f_measure: 0.7194, kappa: 0.4361, kb_relative_information_score: 168.862, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7198, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9753, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.8073, kappa: 0.6119, kb_relative_information_score: 263.8937, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.996, recall: 0.8077, relative_absolute_error: 0.5189, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.7782, scimark_benchmark: 923.2645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 1343.0374, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6981, kappa: 0.3927, kb_relative_information_score: 176.7835, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6982, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9892, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1325.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7964, kappa: 0.59, kb_relative_information_score: 152.2569, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8006, predictive_accuracy: 0.7981, prior_entropy: 0.996, recall: 0.7981, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8072, scimark_benchmark: 1342.8632, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6981, kappa: 0.3927, kb_relative_information_score: 176.7835, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6982, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9892, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1317.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7188, kappa: 0.4338, kb_relative_information_score: 188.7674, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7188, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9722, scimark_benchmark: 1375.1578, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6981, kappa: 0.3927, kb_relative_information_score: 176.7835, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6982, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9892, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.5557, kappa: 0.1082, kb_relative_information_score: 31.6167, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.559, predictive_accuracy: 0.5635, prior_entropy: 0.996, recall: 0.5635, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5238, root_relative_squared_error: 1.0506, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7554, kappa: 0.5075, kb_relative_information_score: 212.4211, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7598, predictive_accuracy: 0.7577, prior_entropy: 0.996, recall: 0.7577, relative_absolute_error: 0.6167, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.7778, scimark_benchmark: 1307.8606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1316.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6981, kappa: 0.3927, kb_relative_information_score: 176.7835, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6982, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9892, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7188, kappa: 0.4338, kb_relative_information_score: 188.7674, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7188, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9722, scimark_benchmark: 1334.863, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7964, kappa: 0.59, kb_relative_information_score: 152.2569, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8006, predictive_accuracy: 0.7981, prior_entropy: 0.996, recall: 0.7981, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8072, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.6977, kappa: 0.3913, kb_relative_information_score: 161.8423, mean_absolute_error: 0.3511, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6976, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.476, root_relative_squared_error: 0.9548, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7388, kappa: 0.4757, kb_relative_information_score: 237.7918, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7399, predictive_accuracy: 0.7385, prior_entropy: 0.996, recall: 0.7385, relative_absolute_error: 0.5458, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4819, root_relative_squared_error: 0.9666, scimark_benchmark: 1321.8132, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 1396.1629, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6981, kappa: 0.3927, kb_relative_information_score: 176.7835, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6982, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9892, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6981, kappa: 0.3927, kb_relative_information_score: 176.7835, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6982, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9892, scimark_benchmark: 1345.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.5557, kappa: 0.1082, kb_relative_information_score: 31.6167, mean_absolute_error: 0.4706, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.559, predictive_accuracy: 0.5635, prior_entropy: 0.996, recall: 0.5635, relative_absolute_error: 0.9465, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.5238, root_relative_squared_error: 1.0506, scimark_benchmark: 1332.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1308.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7964, kappa: 0.59, kb_relative_information_score: 152.2569, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8006, predictive_accuracy: 0.7981, prior_entropy: 0.996, recall: 0.7981, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8072, scimark_benchmark: 940.3347, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 1348.2804, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7188, kappa: 0.4338, kb_relative_information_score: 188.7674, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7188, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9722, scimark_benchmark: 1320.4391, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7964, kappa: 0.59, kb_relative_information_score: 152.2569, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.8006, predictive_accuracy: 0.7981, prior_entropy: 0.996, recall: 0.7981, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8072, scimark_benchmark: 1346.2927, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 1335.7955, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3769, kb_relative_information_score: 36.019, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.2899, predictive_accuracy: 0.5385, prior_entropy: 0.996, recall: 0.5385, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3628, scimark_benchmark: 1320.2063, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7188, kappa: 0.4338, kb_relative_information_score: 188.7674, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.7188, predictive_accuracy: 0.7192, prior_entropy: 0.996, recall: 0.7192, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9722, scimark_benchmark: 940.3347, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.6733, kappa: 0.3434, kb_relative_information_score: 158.3011, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6738, predictive_accuracy: 0.6731, prior_entropy: 0.996, recall: 0.6731, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9989, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6981, kappa: 0.3927, kb_relative_information_score: 176.7835, mean_absolute_error: 0.3342, mean_prior_absolute_error: 0.4972, number_of_instances: 520, precision: 0.6982, predictive_accuracy: 0.6981, prior_entropy: 0.996, recall: 0.6981, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.4985, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9892, scimark_benchmark: 918.0213,

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