Task
Supervised Classification on spambase

Supervised Classification on spambase

Task 43 Supervised Classification spambase 99454 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_98 study_99 under100k under1m
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99454 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9372, kappa: 0.8682, kb_relative_information_score: 0.8663, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9373, predictive_accuracy: 0.9374, prior_entropy: 0.9674, recall: 0.9374, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9565, kappa: 0.909, kb_relative_information_score: 0.8906, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9566, predictive_accuracy: 0.9565, prior_entropy: 0.9674, recall: 0.9565, relative_absolute_error: 0.1128, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9498, kappa: 0.8948, kb_relative_information_score: 0.8866, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9498, kappa: 0.8948, kb_relative_information_score: 0.8866, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9598, kappa: 0.9157, kb_relative_information_score: 0.8934, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9674, recall: 0.9598, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9023, kappa: 0.7932, kb_relative_information_score: 0.2862, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9105, predictive_accuracy: 0.9044, prior_entropy: 0.9674, recall: 0.9044, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9023, kappa: 0.7932, kb_relative_information_score: 0.2862, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9105, predictive_accuracy: 0.9044, prior_entropy: 0.9674, recall: 0.9044, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9554, kappa: 0.9067, kb_relative_information_score: 0.9008, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9674, recall: 0.9554, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9554, kappa: 0.9067, kb_relative_information_score: 0.9008, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9674, recall: 0.9554, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9591, kappa: 0.9144, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9674, recall: 0.9591, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9563, kappa: 0.9085, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9674, recall: 0.9563, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9563, kappa: 0.9085, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9674, recall: 0.9563, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9563, kappa: 0.9085, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9674, recall: 0.9563, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9509, kappa: 0.8972, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9509, kappa: 0.8972, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9509, kappa: 0.8972, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9567, kappa: 0.9093, kb_relative_information_score: 0.8889, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9013, kappa: 0.7914, kb_relative_information_score: 0.4362, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9069, predictive_accuracy: 0.9031, prior_entropy: 0.9674, recall: 0.9031, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9013, kappa: 0.7914, kb_relative_information_score: 0.4362, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9069, predictive_accuracy: 0.9031, prior_entropy: 0.9674, recall: 0.9031, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5275, kappa: -0.0007, kb_relative_information_score: 0.0219, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5221, predictive_accuracy: 0.5421, prior_entropy: 0.9674, recall: 0.5421, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5275, kappa: -0.0007, kb_relative_information_score: 0.0219, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5221, predictive_accuracy: 0.5421, prior_entropy: 0.9674, recall: 0.5421, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5214, kappa: -0.0009, kb_relative_information_score: -0.0236, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.5208, prior_entropy: 0.9674, recall: 0.5208, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6923, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5214, kappa: -0.0009, kb_relative_information_score: -0.0236, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.5208, prior_entropy: 0.9674, recall: 0.5208, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6923, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5214, kappa: -0.0009, kb_relative_information_score: -0.0236, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.5208, prior_entropy: 0.9674, recall: 0.5208, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6923, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5222, kappa: 0.0009, kb_relative_information_score: -0.0218, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5229, predictive_accuracy: 0.5216, prior_entropy: 0.9674, recall: 0.5216, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6916, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5222, kappa: 0.0009, kb_relative_information_score: -0.0218, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5229, predictive_accuracy: 0.5216, prior_entropy: 0.9674, recall: 0.5216, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6916, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5222, kappa: 0.0009, kb_relative_information_score: -0.0218, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5229, predictive_accuracy: 0.5216, prior_entropy: 0.9674, recall: 0.5216, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6916, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9477, kappa: 0.8904, kb_relative_information_score: 0.831, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9477, kappa: 0.8904, kb_relative_information_score: 0.8138, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9589, kappa: 0.9139, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9674, recall: 0.9589, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9589, kappa: 0.9139, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9674, recall: 0.9589, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9598, kappa: 0.9157, kb_relative_information_score: 0.8934, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9674, recall: 0.9598, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9526, kappa: 0.9006, kb_relative_information_score: 0.8522, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9674, recall: 0.9526, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9526, kappa: 0.9006, kb_relative_information_score: 0.8522, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9674, recall: 0.9526, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9526, kappa: 0.9006, kb_relative_information_score: 0.8522, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9674, recall: 0.9526, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.9099, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9674, recall: 0.957, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9554, kappa: 0.9067, kb_relative_information_score: 0.9008, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9674, recall: 0.9554, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9509, kappa: 0.8972, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9509, kappa: 0.8972, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9674, recall: 0.9509, relative_absolute_error: 0.1071, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9567, kappa: 0.9093, kb_relative_information_score: 0.8889, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9567, kappa: 0.9093, kb_relative_information_score: 0.8889, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9013, kappa: 0.7914, kb_relative_information_score: 0.4362, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9069, predictive_accuracy: 0.9031, prior_entropy: 0.9674, recall: 0.9031, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5275, kappa: -0.0007, kb_relative_information_score: 0.0219, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5221, predictive_accuracy: 0.5421, prior_entropy: 0.9674, recall: 0.5421, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5222, kappa: 0.0009, kb_relative_information_score: -0.0218, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5229, predictive_accuracy: 0.5216, prior_entropy: 0.9674, recall: 0.5216, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6916, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9521, kappa: 0.8996, kb_relative_information_score: 0.8453, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3905, kappa: 0.0004, kb_relative_information_score: -0.2033, mean_absolute_error: 0.5634, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5229, predictive_accuracy: 0.4366, prior_entropy: 0.9674, recall: 0.4366, relative_absolute_error: 1.1797, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7506, root_relative_squared_error: 1.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3905, kappa: 0.0004, kb_relative_information_score: -0.2033, mean_absolute_error: 0.5634, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5229, predictive_accuracy: 0.4366, prior_entropy: 0.9674, recall: 0.4366, relative_absolute_error: 1.1797, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7506, root_relative_squared_error: 1.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3905, kappa: 0.0004, kb_relative_information_score: -0.2033, mean_absolute_error: 0.5634, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5229, predictive_accuracy: 0.4366, prior_entropy: 0.9674, recall: 0.4366, relative_absolute_error: 1.1797, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7506, root_relative_squared_error: 1.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9477, kappa: 0.8904, kb_relative_information_score: 0.831, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9537, kappa: 0.903, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9674, recall: 0.9537, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9537, kappa: 0.903, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9674, recall: 0.9537, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9477, kappa: 0.8904, kb_relative_information_score: 0.8138, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9477, kappa: 0.8904, kb_relative_information_score: 0.8138, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9589, kappa: 0.9139, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9674, recall: 0.9589, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9498, kappa: 0.8948, kb_relative_information_score: 0.8866, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9498, kappa: 0.8948, kb_relative_information_score: 0.8866, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9498, kappa: 0.8948, kb_relative_information_score: 0.8866, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9674, recall: 0.9498, relative_absolute_error: 0.1129, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.4226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9598, kappa: 0.9157, kb_relative_information_score: 0.8934, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9674, recall: 0.9598, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9023, kappa: 0.7932, kb_relative_information_score: 0.2862, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9105, predictive_accuracy: 0.9044, prior_entropy: 0.9674, recall: 0.9044, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9023, kappa: 0.7932, kb_relative_information_score: 0.2862, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9105, predictive_accuracy: 0.9044, prior_entropy: 0.9674, recall: 0.9044, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.9099, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9674, recall: 0.957, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.9099, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9674, recall: 0.957, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.9099, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9674, recall: 0.957, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9554, kappa: 0.9067, kb_relative_information_score: 0.9008, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9674, recall: 0.9554, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8479, kappa: 0.6781, kb_relative_information_score: 0.2233, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8748, predictive_accuracy: 0.855, prior_entropy: 0.9674, recall: 0.855, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8479, kappa: 0.6781, kb_relative_information_score: 0.2233, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8748, predictive_accuracy: 0.855, prior_entropy: 0.9674, recall: 0.855, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9591, kappa: 0.9144, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9674, recall: 0.9591, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9591, kappa: 0.9144, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9674, recall: 0.9591, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9563, kappa: 0.9085, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9674, recall: 0.9563, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9563, kappa: 0.9085, kb_relative_information_score: 0.8919, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9674, recall: 0.9563, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9567, kappa: 0.9093, kb_relative_information_score: 0.8889, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9567, kappa: 0.9093, kb_relative_information_score: 0.8889, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9674, recall: 0.9567, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.3737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9013, kappa: 0.7914, kb_relative_information_score: 0.4362, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9069, predictive_accuracy: 0.9031, prior_entropy: 0.9674, recall: 0.9031, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5275, kappa: -0.0007, kb_relative_information_score: 0.0219, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5221, predictive_accuracy: 0.5421, prior_entropy: 0.9674, recall: 0.5421, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6767, root_relative_squared_error: 1.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5214, kappa: -0.0009, kb_relative_information_score: -0.0236, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.522, predictive_accuracy: 0.5208, prior_entropy: 0.9674, recall: 0.5208, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6923, root_relative_squared_error: 1.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5222, kappa: 0.0009, kb_relative_information_score: -0.0218, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5229, predictive_accuracy: 0.5216, prior_entropy: 0.9674, recall: 0.5216, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.6916, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9521, kappa: 0.8996, kb_relative_information_score: 0.8453, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3905, kappa: 0.0004, kb_relative_information_score: -0.2033, mean_absolute_error: 0.5634, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5229, predictive_accuracy: 0.4366, prior_entropy: 0.9674, recall: 0.4366, relative_absolute_error: 1.1797, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7506, root_relative_squared_error: 1.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.3905, kappa: 0.0004, kb_relative_information_score: -0.2033, mean_absolute_error: 0.5634, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.5229, predictive_accuracy: 0.4366, prior_entropy: 0.9674, recall: 0.4366, relative_absolute_error: 1.1797, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.7506, root_relative_squared_error: 1.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9477, kappa: 0.8904, kb_relative_information_score: 0.831, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9537, kappa: 0.903, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9674, recall: 0.9537, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9526, kappa: 0.9006, kb_relative_information_score: 0.8522, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9674, recall: 0.9526, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9526, kappa: 0.9006, kb_relative_information_score: 0.8522, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9526, predictive_accuracy: 0.9526, prior_entropy: 0.9674, recall: 0.9526, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9023, kappa: 0.7932, kb_relative_information_score: 0.2862, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9105, predictive_accuracy: 0.9044, prior_entropy: 0.9674, recall: 0.9044, relative_absolute_error: 0.778, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.9099, kb_relative_information_score: 0.8916, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.957, predictive_accuracy: 0.957, prior_entropy: 0.9674, recall: 0.957, relative_absolute_error: 0.1114, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8479, kappa: 0.6781, kb_relative_information_score: 0.2233, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8748, predictive_accuracy: 0.855, prior_entropy: 0.9674, recall: 0.855, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.8479, kappa: 0.6781, kb_relative_information_score: 0.2233, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8748, predictive_accuracy: 0.855, prior_entropy: 0.9674, recall: 0.855, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9554, kappa: 0.9067, kb_relative_information_score: 0.9008, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9554, predictive_accuracy: 0.9554, prior_entropy: 0.9674, recall: 0.9554, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9591, kappa: 0.9144, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9674, recall: 0.9591, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9591, kappa: 0.9144, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9591, predictive_accuracy: 0.9591, prior_entropy: 0.9674, recall: 0.9591, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.3712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9013, kappa: 0.7914, kb_relative_information_score: 0.4362, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9069, predictive_accuracy: 0.9031, prior_entropy: 0.9674, recall: 0.9031, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9521, kappa: 0.8996, kb_relative_information_score: 0.8453, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9521, kappa: 0.8996, kb_relative_information_score: 0.8453, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9521, kappa: 0.8996, kb_relative_information_score: 0.8453, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9521, predictive_accuracy: 0.9522, prior_entropy: 0.9674, recall: 0.9522, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.3942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9477, kappa: 0.8904, kb_relative_information_score: 0.831, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9477, kappa: 0.8904, kb_relative_information_score: 0.831, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9537, kappa: 0.903, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9674, recall: 0.9537, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9537, kappa: 0.903, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9674, recall: 0.9537, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9477, kappa: 0.8904, kb_relative_information_score: 0.8138, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9478, predictive_accuracy: 0.9478, prior_entropy: 0.9674, recall: 0.9478, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9589, kappa: 0.9139, kb_relative_information_score: 0.8888, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9674, recall: 0.9589, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.3726,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs