Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9401, kappa: 0.8785, kb_relative_information_score: 9707.8917, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9403, predictive_accuracy: 0.9402, prior_entropy: 0.9906, recall: 0.9402, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.4923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9651, kappa: 0.9292, kb_relative_information_score: 10268.3219, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 0.9906, recall: 0.9651, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.9412, kappa: 0.8807, kb_relative_information_score: 9732.3469, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9414, predictive_accuracy: 0.9413, prior_entropy: 0.9906, recall: 0.9413, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9319, kappa: 0.8617, kb_relative_information_score: 9522.4403, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9321, predictive_accuracy: 0.932, prior_entropy: 0.9906, recall: 0.932, relative_absolute_error: 0.1378, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.9246, kappa: 0.847, kb_relative_information_score: 9359.4061, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9248, predictive_accuracy: 0.9247, prior_entropy: 0.9906, recall: 0.9247, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.5523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.9192, kappa: 0.8361, kb_relative_information_score: 9239.1683, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9195, predictive_accuracy: 0.9194, prior_entropy: 0.9906, recall: 0.9194, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9672, kappa: 0.9336, kb_relative_information_score: 10317.2322, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9906, recall: 0.9673, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.181, root_relative_squared_error: 0.3643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9735, kappa: 0.9462, kb_relative_information_score: 10457.8492, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.9906, recall: 0.9735, relative_absolute_error: 0.0537, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9618, kappa: 0.9225, kb_relative_information_score: 10194.9565, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9618, predictive_accuracy: 0.9618, prior_entropy: 0.9906, recall: 0.9618, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.3933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.962, kappa: 0.9229, kb_relative_information_score: 10199.0324, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.9906, recall: 0.962, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9722, kappa: 0.9437, kb_relative_information_score: 10429.3182, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9723, predictive_accuracy: 0.9722, prior_entropy: 0.9906, recall: 0.9722, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.9299, kappa: 0.8576, kb_relative_information_score: 9477.6059, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9301, predictive_accuracy: 0.93, prior_entropy: 0.9906, recall: 0.93, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9611, kappa: 0.9211, kb_relative_information_score: 10178.6531, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9611, predictive_accuracy: 0.9611, prior_entropy: 0.9906, recall: 0.9611, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9718, kappa: 0.9427, kb_relative_information_score: 10419.1286, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.9906, recall: 0.9718, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.168, root_relative_squared_error: 0.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9416, kappa: 0.8814, kb_relative_information_score: 9740.4986, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9418, predictive_accuracy: 0.9417, prior_entropy: 0.9906, recall: 0.9417, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9674, kappa: 0.9339, kb_relative_information_score: 10321.308, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.9906, recall: 0.9674, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.3633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 10470.0768, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.9906, recall: 0.974, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9363, kappa: 0.8707, kb_relative_information_score: 9622.2988, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9365, predictive_accuracy: 0.9364, prior_entropy: 0.9906, recall: 0.9364, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2522, root_relative_squared_error: 0.5076,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9693, kappa: 0.9378, kb_relative_information_score: 10364.1045, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.9906, recall: 0.9693, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9721, kappa: 0.9435, kb_relative_information_score: 10427.2803, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 0.9906, recall: 0.9721, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.943, kappa: 0.8843, kb_relative_information_score: 9773.1054, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9433, predictive_accuracy: 0.9431, prior_entropy: 0.9906, recall: 0.9431, relative_absolute_error: 0.1153, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9713, kappa: 0.9419, kb_relative_information_score: 10408.9389, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9713, predictive_accuracy: 0.9713, prior_entropy: 0.9906, recall: 0.9713, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9236, kappa: 0.845, kb_relative_information_score: 9336.9889, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9238, predictive_accuracy: 0.9237, prior_entropy: 0.9906, recall: 0.9237, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9651, kappa: 0.9292, kb_relative_information_score: 10268.3219, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 0.9906, recall: 0.9651, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9721, kappa: 0.9435, kb_relative_information_score: 10427.2803, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9721, predictive_accuracy: 0.9721, prior_entropy: 0.9906, recall: 0.9721, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.8728, kappa: 0.7423, kb_relative_information_score: 8265.0388, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8945, predictive_accuracy: 0.8762, prior_entropy: 0.9906, recall: 0.8762, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9194, kappa: 0.8365, kb_relative_information_score: 9243.2442, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9197, predictive_accuracy: 0.9196, prior_entropy: 0.9906, recall: 0.9196, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9703, kappa: 0.9399, kb_relative_information_score: 10386.5217, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9703, predictive_accuracy: 0.9703, prior_entropy: 0.9906, recall: 0.9703, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.9253, kappa: 0.8482, kb_relative_information_score: 9379.7854, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9269, predictive_accuracy: 0.9256, prior_entropy: 0.9906, recall: 0.9256, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, f_measure: 0.927, kappa: 0.852, kb_relative_information_score: 9414.4301, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9273, predictive_accuracy: 0.9272, prior_entropy: 0.9906, recall: 0.9272, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9743, kappa: 0.9479, kb_relative_information_score: 10476.1906, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.9906, recall: 0.9743, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9724, kappa: 0.944, kb_relative_information_score: 10433.3941, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 0.9906, recall: 0.9724, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.3344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9741, kappa: 0.9475, kb_relative_information_score: 10472.1147, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 0.9906, recall: 0.9741, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7956, kappa: 0.5929, kb_relative_information_score: 6728.4412, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8564, predictive_accuracy: 0.808, prior_entropy: 0.9906, recall: 0.808, relative_absolute_error: 0.3891, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.921, kappa: 0.8395, kb_relative_information_score: 9279.9269, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9216, predictive_accuracy: 0.9212, prior_entropy: 0.9906, recall: 0.9212, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9728, kappa: 0.9449, kb_relative_information_score: 10443.5837, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9906, recall: 0.9729, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.4062, kappa: 0.0086, kb_relative_information_score: 1150.6326, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7543, predictive_accuracy: 0.5604, prior_entropy: 0.9906, recall: 0.5604, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.663, root_relative_squared_error: 1.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9239, kappa: 0.8452, kb_relative_information_score: 9351.2544, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9269, predictive_accuracy: 0.9244, prior_entropy: 0.9906, recall: 0.9244, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.275, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9729, kappa: 0.9451, kb_relative_information_score: 10445.6216, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9619, kappa: 0.9227, kb_relative_information_score: 10196.9944, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9619, predictive_accuracy: 0.9619, prior_entropy: 0.9906, recall: 0.9619, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.9235, kappa: 0.8445, kb_relative_information_score: 9343.1027, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9264, predictive_accuracy: 0.924, prior_entropy: 0.9906, recall: 0.924, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9257, kappa: 0.849, kb_relative_information_score: 9389.975, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9276, predictive_accuracy: 0.9261, prior_entropy: 0.9906, recall: 0.9261, relative_absolute_error: 0.1497, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9728, kappa: 0.9448, kb_relative_information_score: 10441.5458, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.9906, recall: 0.9728, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8561, kappa: 0.7173, kb_relative_information_score: 7818.7326, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8849, predictive_accuracy: 0.8564, prior_entropy: 0.9906, recall: 0.8564, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.379, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9236, kappa: 0.8448, kb_relative_information_score: 9347.1785, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9269, predictive_accuracy: 0.9242, prior_entropy: 0.9906, recall: 0.9242, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9222, kappa: 0.842, kb_relative_information_score: 9308.4579, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9232, predictive_accuracy: 0.9225, prior_entropy: 0.9906, recall: 0.9225, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.5605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9415, kappa: 0.8812, kb_relative_information_score: 9738.4607, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9417, predictive_accuracy: 0.9416, prior_entropy: 0.9906, recall: 0.9416, relative_absolute_error: 0.1184, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.4866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9728, kappa: 0.9449, kb_relative_information_score: 10443.5837, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9906, recall: 0.9729, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9723, kappa: 0.9438, kb_relative_information_score: 10431.3561, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9724, predictive_accuracy: 0.9723, prior_entropy: 0.9906, recall: 0.9723, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.3349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9293, kappa: 0.8578, kb_relative_information_score: 9457.2266, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9337, predictive_accuracy: 0.9291, prior_entropy: 0.9906, recall: 0.9291, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9279, f_measure: 0.9304, kappa: 0.8587, kb_relative_information_score: 9489.8335, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9307, predictive_accuracy: 0.9305, prior_entropy: 0.9906, recall: 0.9305, relative_absolute_error: 0.1408, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9704, kappa: 0.94, kb_relative_information_score: 10388.5597, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.9906, recall: 0.9704, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.172, root_relative_squared_error: 0.3462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 10449.6975, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.9906, recall: 0.9731, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.9164, kappa: 0.8325, kb_relative_information_score: 9165.8029, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9237, predictive_accuracy: 0.9161, prior_entropy: 0.9906, recall: 0.9161, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9673, kappa: 0.9338, kb_relative_information_score: 10319.2701, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.9906, recall: 0.9673, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8876, kappa: 0.7766, kb_relative_information_score: 8517.7419, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9033, predictive_accuracy: 0.8874, prior_entropy: 0.9906, recall: 0.8874, relative_absolute_error: 0.2282, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9355, kappa: 0.8691, kb_relative_information_score: 9603.9574, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9357, predictive_accuracy: 0.9356, prior_entropy: 0.9906, recall: 0.9356, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9608, kappa: 0.9205, kb_relative_information_score: 10172.5393, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9608, predictive_accuracy: 0.9608, prior_entropy: 0.9906, recall: 0.9608, relative_absolute_error: 0.0794, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9742, kappa: 0.9477, kb_relative_information_score: 10474.1526, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9906, recall: 0.9742, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9562, kappa: 0.9111, kb_relative_information_score: 10068.605, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9563, predictive_accuracy: 0.9562, prior_entropy: 0.9906, recall: 0.9562, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9728, kappa: 0.9447, kb_relative_information_score: 10441.5458, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.9906, recall: 0.9728, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.9646, kappa: 0.9283, kb_relative_information_score: 10258.1323, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.9906, recall: 0.9646, relative_absolute_error: 0.0717, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.9209, kappa: 0.8394, kb_relative_information_score: 9277.889, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9214, predictive_accuracy: 0.9211, prior_entropy: 0.9906, recall: 0.9211, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9558, kappa: 0.9106, kb_relative_information_score: 10056.3774, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9564, predictive_accuracy: 0.9557, prior_entropy: 0.9906, recall: 0.9557, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.9195, kappa: 0.8367, kb_relative_information_score: 9245.2821, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9198, predictive_accuracy: 0.9197, prior_entropy: 0.9906, recall: 0.9197, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.5705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8356, kappa: 0.6693, kb_relative_information_score: 7508.9676, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8758, predictive_accuracy: 0.8426, prior_entropy: 0.9906, recall: 0.8426, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8585, kappa: 0.7218, kb_relative_information_score: 7871.7187, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.886, predictive_accuracy: 0.8587, prior_entropy: 0.9906, recall: 0.8587, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9742, kappa: 0.9477, kb_relative_information_score: 10474.1526, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9906, recall: 0.9742, relative_absolute_error: 0.0522, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.3232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9402, kappa: 0.8787, kb_relative_information_score: 9709.9297, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.9906, recall: 0.9403, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9533, kappa: 0.9052, kb_relative_information_score: 10003.3913, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9534, predictive_accuracy: 0.9533, prior_entropy: 0.9906, recall: 0.9533, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.216, root_relative_squared_error: 0.4349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8614, kappa: 0.7271, kb_relative_information_score: 7934.8945, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8875, predictive_accuracy: 0.8615, prior_entropy: 0.9906, recall: 0.8615, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9255, kappa: 0.8504, kb_relative_information_score: 9371.6336, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9307, predictive_accuracy: 0.9253, prior_entropy: 0.9906, recall: 0.9253, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9402, kappa: 0.8787, kb_relative_information_score: 9709.9297, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9404, predictive_accuracy: 0.9403, prior_entropy: 0.9906, recall: 0.9403, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9254, kappa: 0.8484, kb_relative_information_score: 9381.8233, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9269, predictive_accuracy: 0.9257, prior_entropy: 0.9906, recall: 0.9257, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9734, kappa: 0.946, kb_relative_information_score: 10455.8113, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.9906, recall: 0.9734, relative_absolute_error: 0.0539, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9436, kappa: 0.8856, kb_relative_information_score: 9787.3709, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9439, predictive_accuracy: 0.9437, prior_entropy: 0.9906, recall: 0.9437, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9729, kappa: 0.9451, kb_relative_information_score: 10445.6216, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9681, kappa: 0.9352, kb_relative_information_score: 10335.5735, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9681, predictive_accuracy: 0.9681, prior_entropy: 0.9906, recall: 0.9681, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9729, kappa: 0.9451, kb_relative_information_score: 10445.6216, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3311,

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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From your own software

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

OpenML APIs