OpenML
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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19725 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9734, kappa: 0.946, kb_relative_information_score: 9943.8568, mean_absolute_error: 0.0558, 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: 0.1131, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.143, root_relative_squared_error: 0.2878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9458, kappa: 0.8901, kb_relative_information_score: 9454.0167, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9458, predictive_accuracy: 0.9458, prior_entropy: 0.9906, recall: 0.9458, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.3891,
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: 0.9525, f_measure: 0.9542, kappa: 0.9071, kb_relative_information_score: 10023.7706, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9906, recall: 0.9542, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.4307,
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: 0.9909, f_measure: 0.9492, kappa: 0.8969, kb_relative_information_score: 8557.8016, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9493, predictive_accuracy: 0.9493, prior_entropy: 0.9906, recall: 0.9493, relative_absolute_error: 0.2548, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9444, kappa: 0.8874, kb_relative_information_score: 9229.3795, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9444, predictive_accuracy: 0.9445, prior_entropy: 0.9906, recall: 0.9445, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9443, kappa: 0.8871, kb_relative_information_score: 9252.3235, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9443, predictive_accuracy: 0.9443, prior_entropy: 0.9906, recall: 0.9443, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.198, root_relative_squared_error: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9512, kappa: 0.9011, kb_relative_information_score: 9379.2037, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.9906, recall: 0.9512, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.377,
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: 0.9943, f_measure: 0.9597, kappa: 0.9182, kb_relative_information_score: 8966.9064, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9598, predictive_accuracy: 0.9597, prior_entropy: 0.9906, recall: 0.9597, relative_absolute_error: 0.2147, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9627, kappa: 0.9243, kb_relative_information_score: 10215.3358, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9628, predictive_accuracy: 0.9627, prior_entropy: 0.9906, recall: 0.9627, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9486, kappa: 0.8958, kb_relative_information_score: 9272.6896, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9486, predictive_accuracy: 0.9486, prior_entropy: 0.9906, recall: 0.9486, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9696, kappa: 0.9383, kb_relative_information_score: 10370.2183, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 0.9906, recall: 0.9696, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9484, kappa: 0.8955, kb_relative_information_score: 9438.6701, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9484, predictive_accuracy: 0.9484, prior_entropy: 0.9906, recall: 0.9484, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9736, kappa: 0.9464, kb_relative_information_score: 10459.8871, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 0.9906, recall: 0.9736, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.6345, kappa: 0.3124, kb_relative_information_score: 3956.8593, mean_absolute_error: 0.3151, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7908, predictive_accuracy: 0.6849, prior_entropy: 0.9906, recall: 0.6849, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5613, root_relative_squared_error: 1.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9529, kappa: 0.9046, kb_relative_information_score: 9434.2988, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.9906, recall: 0.953, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9245, kappa: 0.8468, kb_relative_information_score: 9357.3681, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9247, predictive_accuracy: 0.9246, prior_entropy: 0.9906, recall: 0.9246, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9605, kappa: 0.92, kb_relative_information_score: 9644.2438, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9606, predictive_accuracy: 0.9606, prior_entropy: 0.9906, recall: 0.9606, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9539, kappa: 0.9066, kb_relative_information_score: 9557.1251, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9539, predictive_accuracy: 0.954, prior_entropy: 0.9906, recall: 0.954, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9389, kappa: 0.8761, kb_relative_information_score: 9681.3987, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9391, predictive_accuracy: 0.939, prior_entropy: 0.9906, recall: 0.939, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2469, root_relative_squared_error: 0.4971,
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: 0.9566, f_measure: 0.958, kappa: 0.9148, kb_relative_information_score: 10109.3635, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9581, predictive_accuracy: 0.958, prior_entropy: 0.9906, recall: 0.958, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9657, kappa: 0.9304, kb_relative_information_score: 10131.0019, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9657, predictive_accuracy: 0.9657, prior_entropy: 0.9906, recall: 0.9657, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.3134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.939, kappa: 0.8763, kb_relative_information_score: 9683.4366, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9392, predictive_accuracy: 0.9391, prior_entropy: 0.9906, recall: 0.9391, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.4967,
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: 0.9925, f_measure: 0.9528, kappa: 0.9042, kb_relative_information_score: 9283.4015, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9906, recall: 0.9528, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, 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: 0.9668, f_measure: 0.968, kappa: 0.935, kb_relative_information_score: 10333.5356, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.9906, recall: 0.968, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9564, kappa: 0.9117, kb_relative_information_score: 9791.9578, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9565, predictive_accuracy: 0.9565, prior_entropy: 0.9906, recall: 0.9565, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9458, kappa: 0.8901, kb_relative_information_score: 9221.7451, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9458, predictive_accuracy: 0.9458, prior_entropy: 0.9906, recall: 0.9458, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9525, kappa: 0.9038, kb_relative_information_score: 8936.3573, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9527, predictive_accuracy: 0.9526, prior_entropy: 0.9906, recall: 0.9526, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.3952,
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: 0.9483, f_measure: 0.9502, kappa: 0.8989, kb_relative_information_score: 9934.1017, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9504, predictive_accuracy: 0.9502, prior_entropy: 0.9906, recall: 0.9502, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.223, root_relative_squared_error: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9482, kappa: 0.8951, kb_relative_information_score: 9251.428, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9482, predictive_accuracy: 0.9483, prior_entropy: 0.9906, recall: 0.9483, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.3955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9319, kappa: 0.8618, 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: 0.9484, f_measure: 0.9502, kappa: 0.8989, kb_relative_information_score: 9934.1017, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9503, predictive_accuracy: 0.9502, prior_entropy: 0.9906, recall: 0.9502, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.223, root_relative_squared_error: 0.449,
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: 0.9655, f_measure: 0.9652, kappa: 0.9295, kb_relative_information_score: 10270.3598, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9653, predictive_accuracy: 0.9652, prior_entropy: 0.9906, recall: 0.9652, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.9223, kappa: 0.8421, kb_relative_information_score: 9318.6475, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9261, predictive_accuracy: 0.9229, prior_entropy: 0.9906, recall: 0.9229, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.5589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, 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: 0.9639, 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: 0.9925, f_measure: 0.9534, kappa: 0.9055, kb_relative_information_score: 9614.3869, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9534, predictive_accuracy: 0.9534, prior_entropy: 0.9906, recall: 0.9534, relative_absolute_error: 0.1376, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.3642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.883, kappa: 0.7679, kb_relative_information_score: 8415.8455, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9005, predictive_accuracy: 0.8829, prior_entropy: 0.9906, recall: 0.8829, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9718, kappa: 0.9429, kb_relative_information_score: 10043.4927, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.9906, recall: 0.9719, relative_absolute_error: 0.0998, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9683, kappa: 0.9358, kb_relative_information_score: 10341.6873, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9683, prior_entropy: 0.9906, recall: 0.9683, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9577, kappa: 0.9143, kb_relative_information_score: 9608.5489, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9578, predictive_accuracy: 0.9578, prior_entropy: 0.9906, recall: 0.9578, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3464,
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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, 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: 0.9926, f_measure: 0.9514, kappa: 0.9015, kb_relative_information_score: 9436.7158, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9514, predictive_accuracy: 0.9514, prior_entropy: 0.9906, recall: 0.9514, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.965, kappa: 0.929, kb_relative_information_score: 9768.0179, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 0.9906, recall: 0.965, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.3184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9527, kappa: 0.904, kb_relative_information_score: 9249.0639, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9527, predictive_accuracy: 0.9527, prior_entropy: 0.9906, recall: 0.9527, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3828,
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: 0.9916, f_measure: 0.95, kappa: 0.8986, kb_relative_information_score: 9562.5112, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9906, recall: 0.95, relative_absolute_error: 0.1416, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9713, kappa: 0.9418, kb_relative_information_score: 10122.1556, mean_absolute_error: 0.0447, 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: 0.0905, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.2904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9739, kappa: 0.9472, kb_relative_information_score: 10468.0388, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.974, predictive_accuracy: 0.9739, prior_entropy: 0.9906, recall: 0.9739, relative_absolute_error: 0.0528, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9559, kappa: 0.9106, kb_relative_information_score: 9678.697, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.956, predictive_accuracy: 0.9559, prior_entropy: 0.9906, recall: 0.9559, relative_absolute_error: 0.1316, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3553,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5893, f_measure: 0.5551, kappa: 0.1948, kb_relative_information_score: 2848.2265, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7712, predictive_accuracy: 0.6357, prior_entropy: 0.9906, recall: 0.6357, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6035, root_relative_squared_error: 1.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9685, kappa: 0.9361, kb_relative_information_score: 10345.7632, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.9906, recall: 0.9685, relative_absolute_error: 0.0638, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.939, kappa: 0.8763, kb_relative_information_score: 9683.4366, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9392, predictive_accuracy: 0.9391, prior_entropy: 0.9906, recall: 0.9391, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.4967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9604, kappa: 0.9198, kb_relative_information_score: 9654.8512, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9605, predictive_accuracy: 0.9605, prior_entropy: 0.9906, recall: 0.9605, relative_absolute_error: 0.1376, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9524, kappa: 0.9035, kb_relative_information_score: 9464.3897, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9906, recall: 0.9524, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8558, kappa: 0.7168, kb_relative_information_score: 7812.6188, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.8561, prior_entropy: 0.9906, recall: 0.8561, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9489, kappa: 0.8964, kb_relative_information_score: 9318.114, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9489, predictive_accuracy: 0.9489, prior_entropy: 0.9906, recall: 0.9489, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9384, kappa: 0.875, kb_relative_information_score: 9669.1711, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9386, predictive_accuracy: 0.9385, prior_entropy: 0.9906, recall: 0.9385, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.248, root_relative_squared_error: 0.4993,
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: 0.9191, f_measure: 0.9215, kappa: 0.8408, kb_relative_information_score: 9290.1165, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9906, recall: 0.9217, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9556, kappa: 0.9099, kb_relative_information_score: 9527.3862, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.9906, recall: 0.9556, relative_absolute_error: 0.1492, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.9204, kappa: 0.8386, kb_relative_information_score: 9265.6614, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9206, predictive_accuracy: 0.9206, prior_entropy: 0.9906, recall: 0.9206, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.949, kappa: 0.8965, kb_relative_information_score: 9185.9859, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.949, predictive_accuracy: 0.949, prior_entropy: 0.9906, recall: 0.949, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.3972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9502, kappa: 0.8991, kb_relative_information_score: 9318.4178, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9906, recall: 0.9502, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.3852,
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: 0.9638, f_measure: 0.9645, kappa: 0.9281, kb_relative_information_score: 10256.0943, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.9906, recall: 0.9645, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9647, kappa: 0.9285, kb_relative_information_score: 10260.1702, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9647, predictive_accuracy: 0.9647, prior_entropy: 0.9906, recall: 0.9647, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9698, kappa: 0.9387, kb_relative_information_score: 10374.2942, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.9906, recall: 0.9698, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.3499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9694, kappa: 0.938, kb_relative_information_score: 10366.1424, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9695, predictive_accuracy: 0.9694, prior_entropy: 0.9906, recall: 0.9694, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.352,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9448, kappa: 0.888, kb_relative_information_score: 9813.864, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9451, predictive_accuracy: 0.9449, prior_entropy: 0.9906, recall: 0.9449, relative_absolute_error: 0.1116, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.4725,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9621, kappa: 0.9231, kb_relative_information_score: 9241.7693, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.9906, recall: 0.9621, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.3588,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9563, kappa: 0.9114, kb_relative_information_score: 9563.8949, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9563, predictive_accuracy: 0.9563, prior_entropy: 0.9906, recall: 0.9563, relative_absolute_error: 0.1452, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9559, kappa: 0.9106, kb_relative_information_score: 10062.4912, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.956, predictive_accuracy: 0.9559, prior_entropy: 0.9906, recall: 0.9559, relative_absolute_error: 0.0893, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.9254, kappa: 0.8487, kb_relative_information_score: 9377.7474, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9256, predictive_accuracy: 0.9256, prior_entropy: 0.9906, recall: 0.9256, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.5493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9708, kappa: 0.9407, kb_relative_information_score: 10041.511, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9906, recall: 0.9708, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1439, root_relative_squared_error: 0.2897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9688, kappa: 0.9367, kb_relative_information_score: 9945.3543, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9688, predictive_accuracy: 0.9688, prior_entropy: 0.9906, recall: 0.9688, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9724, kappa: 0.9441, 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: 0.9256, f_measure: 0.928, kappa: 0.854, kb_relative_information_score: 9436.8473, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9283, predictive_accuracy: 0.9282, prior_entropy: 0.9906, recall: 0.9282, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9406, kappa: 0.8794, kb_relative_information_score: 9718.0814, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9408, predictive_accuracy: 0.9407, prior_entropy: 0.9906, recall: 0.9407, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.95, kappa: 0.8985, kb_relative_information_score: 5928.0621, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9509, predictive_accuracy: 0.9502, prior_entropy: 0.9906, recall: 0.9502, relative_absolute_error: 0.5311, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.5815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9671, kappa: 0.9333, kb_relative_information_score: 9884.0754, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9673, predictive_accuracy: 0.9672, prior_entropy: 0.9906, recall: 0.9672, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.3122,
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,

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