OpenML
Supervised Classification on rabe_266

Supervised Classification on rabe_266

Task 3647 Supervised Classification rabe_266 1585 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 study_73 under100k under1m
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1585 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8749, kappa: 0.7508, kb_relative_information_score: 91.7861, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8809, predictive_accuracy: 0.875, prior_entropy: 0.9983, recall: 0.875, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8749, kappa: 0.7508, kb_relative_information_score: 91.7861, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8809, predictive_accuracy: 0.875, prior_entropy: 0.9983, recall: 0.875, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5506, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.5003, kappa: -0.0008, kb_relative_information_score: 1.0769, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.5008, predictive_accuracy: 0.5, prior_entropy: 0.9983, recall: 0.5, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.515, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8501, kappa: 0.6998, kb_relative_information_score: 87.912, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8506, predictive_accuracy: 0.85, prior_entropy: 0.9983, recall: 0.85, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8749, kappa: 0.7508, kb_relative_information_score: 91.7861, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8809, predictive_accuracy: 0.875, prior_entropy: 0.9983, recall: 0.875, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5506, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.5003, kappa: -0.0008, kb_relative_information_score: 1.0769, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.5008, predictive_accuracy: 0.5, prior_entropy: 0.9983, recall: 0.5, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.515, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 105.924, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 105.924, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8501, kappa: 0.6998, kb_relative_information_score: 87.912, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8506, predictive_accuracy: 0.85, prior_entropy: 0.9983, recall: 0.85, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 105.924, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 105.924, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8749, kappa: 0.7508, kb_relative_information_score: 91.7861, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8809, predictive_accuracy: 0.875, prior_entropy: 0.9983, recall: 0.875, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.5003, kappa: -0.0008, kb_relative_information_score: 1.0769, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.5008, predictive_accuracy: 0.5, prior_entropy: 0.9983, recall: 0.5, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.515, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.5003, kappa: -0.0008, kb_relative_information_score: 1.0769, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.5008, predictive_accuracy: 0.5, prior_entropy: 0.9983, recall: 0.5, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.515, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8749, kappa: 0.7508, kb_relative_information_score: 91.7861, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8809, predictive_accuracy: 0.875, prior_entropy: 0.9983, recall: 0.875, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8749, kappa: 0.7508, kb_relative_information_score: 91.7861, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8809, predictive_accuracy: 0.875, prior_entropy: 0.9983, recall: 0.875, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8501, kappa: 0.6998, kb_relative_information_score: 87.912, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8506, predictive_accuracy: 0.85, prior_entropy: 0.9983, recall: 0.85, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 105.924, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5506, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5506, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5506, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5506, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5506, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5506, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5506, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 103.5506, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 105.924, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8501, kappa: 0.6998, kb_relative_information_score: 87.912, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8506, predictive_accuracy: 0.85, prior_entropy: 0.9983, recall: 0.85, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 105.924, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 105.924, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 105.924, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 105.924, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1301, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9334, kappa: 0.8666, kb_relative_information_score: 103.937, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9339, predictive_accuracy: 0.9333, prior_entropy: 0.9983, recall: 0.9333, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.9, kappa: 0.7995, kb_relative_information_score: 95.909, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9983, recall: 0.9, relative_absolute_error: 0.2005, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.95, kappa: 0.9002, kb_relative_information_score: 107.951, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9548, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 29.9126, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 29.9126, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 29.9126, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 29.9126, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.8073, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 103.7954, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9667, kappa: 0.9333, kb_relative_information_score: 103.7954, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9672, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1501, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.95, kappa: 0.8999, kb_relative_information_score: 99.6287, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.95, kappa: 0.8999, kb_relative_information_score: 99.6287, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.8165, kappa: 0.6349, kb_relative_information_score: 36.2451, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8236, predictive_accuracy: 0.8167, prior_entropy: 0.9983, recall: 0.8167, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.8165, kappa: 0.6349, kb_relative_information_score: 36.2451, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8236, predictive_accuracy: 0.8167, prior_entropy: 0.9983, recall: 0.8167, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.8165, kappa: 0.6349, kb_relative_information_score: 36.2451, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8236, predictive_accuracy: 0.8167, prior_entropy: 0.9983, recall: 0.8167, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.8165, kappa: 0.6349, kb_relative_information_score: 36.2451, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8236, predictive_accuracy: 0.8167, prior_entropy: 0.9983, recall: 0.8167, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.8501, kappa: 0.6998, kb_relative_information_score: 77.9944, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8506, predictive_accuracy: 0.85, prior_entropy: 0.9983, recall: 0.85, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 95.659, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 95.659, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 95.659, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.95, kappa: 0.8997, kb_relative_information_score: 99.3713, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.95, kappa: 0.8997, kb_relative_information_score: 99.3713, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.95, kappa: 0.8997, kb_relative_information_score: 93.743, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.95, kappa: 0.8997, kb_relative_information_score: 93.743, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 106.7917, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.3601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9584, kappa: 0.9167, kb_relative_information_score: 99.322, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9596, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 46.5577, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.6769, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9334, kappa: 0.8666, kb_relative_information_score: 103.4184, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9339, predictive_accuracy: 0.9333, prior_entropy: 0.9983, recall: 0.9333, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9334, kappa: 0.8666, kb_relative_information_score: 103.4184, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9339, predictive_accuracy: 0.9333, prior_entropy: 0.9983, recall: 0.9333, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9334, kappa: 0.8666, kb_relative_information_score: 103.4184, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9339, predictive_accuracy: 0.9333, prior_entropy: 0.9983, recall: 0.9333, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 55.7689, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 55.7689, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8917, kappa: 0.7837, kb_relative_information_score: 93.902, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8948, predictive_accuracy: 0.8917, prior_entropy: 0.9983, recall: 0.8917, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8917, kappa: 0.7837, kb_relative_information_score: 93.902, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8948, predictive_accuracy: 0.8917, prior_entropy: 0.9983, recall: 0.8917, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 72.7659, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9983, recall: 0.85, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.353, root_relative_squared_error: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.85, kappa: 0.6992, kb_relative_information_score: 72.7659, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9983, recall: 0.85, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.353, root_relative_squared_error: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 108.1145, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9667, kappa: 0.9334, kb_relative_information_score: 108.1145, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9689, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.9084, kappa: 0.8167, kb_relative_information_score: 86.0483, mean_absolute_error: 0.1565, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9096, predictive_accuracy: 0.9083, prior_entropy: 0.9983, recall: 0.9083, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2729, root_relative_squared_error: 0.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 99.3697, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.1897, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 105.062, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9983, recall: 0.9417, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.95, kappa: 0.9001, kb_relative_information_score: 93.1622, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9522, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.95, kappa: 0.8999, kb_relative_information_score: 97.9745, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 100.1179, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 100.1179, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 100.1179, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9583, kappa: 0.9165, kb_relative_information_score: 100.1179, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9585, predictive_accuracy: 0.9583, prior_entropy: 0.9983, recall: 0.9583, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.925, kappa: 0.8498, kb_relative_information_score: 99.5219, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9252, predictive_accuracy: 0.925, prior_entropy: 0.9983, recall: 0.925, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.925, kappa: 0.8498, kb_relative_information_score: 99.5219, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9252, predictive_accuracy: 0.925, prior_entropy: 0.9983, recall: 0.925, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.925, kappa: 0.8498, kb_relative_information_score: 99.5219, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9252, predictive_accuracy: 0.925, prior_entropy: 0.9983, recall: 0.925, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2624, root_relative_squared_error: 0.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9, kappa: 0.7995, kb_relative_information_score: 95.826, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.9983, recall: 0.9, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.95, kappa: 0.9002, kb_relative_information_score: 104.7189, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9548, predictive_accuracy: 0.95, prior_entropy: 0.9983, recall: 0.95, relative_absolute_error: 0.1311, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.9332, kb_relative_information_score: 103.6865, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9667, kappa: 0.9332, kb_relative_information_score: 103.6865, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9983, recall: 0.9667, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.3394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8501, kappa: 0.6998, kb_relative_information_score: 87.912, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4988, number_of_instances: 120, precision: 0.8506, predictive_accuracy: 0.85, prior_entropy: 0.9983, recall: 0.85, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5601,

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