Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 study_107 study_98 study_99
Issue #Downvotes for this reason By


Metric:

19725 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9487, kappa: 0.8959, kb_relative_information_score: 9901.4949, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.949, predictive_accuracy: 0.9488, prior_entropy: 0.9906, recall: 0.9488, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.893, kappa: 0.7869, kb_relative_information_score: 8637.9796, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9067, predictive_accuracy: 0.8927, prior_entropy: 0.9906, recall: 0.8927, relative_absolute_error: 0.2174, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6594,
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: 0.9728, f_measure: 0.9737, kappa: 0.9468, kb_relative_information_score: 10463.963, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9906, recall: 0.9738, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3261,
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: 0.869, 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: 0.9176, f_measure: 0.9201, kappa: 0.8378, kb_relative_information_score: 9257.5097, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9203, predictive_accuracy: 0.9202, prior_entropy: 0.9906, recall: 0.9202, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.5686,
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: 0.869, 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: 0.9692, f_measure: 0.9702, kappa: 0.9396, kb_relative_information_score: 10384.4838, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9703, predictive_accuracy: 0.9702, prior_entropy: 0.9906, recall: 0.9702, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.3473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9573, kappa: 0.9136, kb_relative_information_score: 10091.0222, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9578, predictive_accuracy: 0.9572, prior_entropy: 0.9906, recall: 0.9572, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9473, kappa: 0.893, kb_relative_information_score: 9868.888, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9475, predictive_accuracy: 0.9474, prior_entropy: 0.9906, recall: 0.9474, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.4619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9572, kappa: 0.9131, kb_relative_information_score: 10091.0222, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9573, predictive_accuracy: 0.9572, prior_entropy: 0.9906, recall: 0.9572, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9225, f_measure: 0.9249, kappa: 0.8476, kb_relative_information_score: 9365.5199, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9906, recall: 0.925, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.5513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9664, kappa: 0.9319, kb_relative_information_score: 10296.8529, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 0.9906, recall: 0.9664, relative_absolute_error: 0.0682, 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: 0.9646, f_measure: 0.9656, kappa: 0.9303, kb_relative_information_score: 10280.5495, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9656, predictive_accuracy: 0.9656, prior_entropy: 0.9906, recall: 0.9656, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.3732,
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: 0.9738, f_measure: 0.9747, kappa: 0.9488, kb_relative_information_score: 10486.3802, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.9906, recall: 0.9748, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3198,
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: 0.9738, f_measure: 0.9747, kappa: 0.9488, kb_relative_information_score: 10486.3802, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.9906, recall: 0.9748, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3198,
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: 0.9733, 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: 0.9516, f_measure: 0.9534, kappa: 0.9054, kb_relative_information_score: 10005.4292, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9535, predictive_accuracy: 0.9534, prior_entropy: 0.9906, recall: 0.9534, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.9237, kappa: 0.8452, kb_relative_information_score: 9339.0268, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9239, predictive_accuracy: 0.9238, prior_entropy: 0.9906, recall: 0.9238, relative_absolute_error: 0.1543, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9395, kappa: 0.8772, kb_relative_information_score: 9693.6262, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.9906, recall: 0.9396, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9534, kappa: 0.9054, kb_relative_information_score: 10005.4292, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9535, predictive_accuracy: 0.9534, prior_entropy: 0.9906, recall: 0.9534, relative_absolute_error: 0.0944, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4345,
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: 0.9737, f_measure: 0.9747, kappa: 0.9486, kb_relative_information_score: 10484.3423, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.9906, recall: 0.9747, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.9578, kappa: 0.9144, kb_relative_information_score: 10105.2877, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9579, predictive_accuracy: 0.9578, prior_entropy: 0.9906, recall: 0.9578, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9276, kappa: 0.8531, kb_relative_information_score: 9426.6577, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9279, predictive_accuracy: 0.9277, prior_entropy: 0.9906, recall: 0.9277, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5412,
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: 0.9326, f_measure: 0.9349, kappa: 0.868, kb_relative_information_score: 9591.7299, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9352, predictive_accuracy: 0.9351, prior_entropy: 0.9906, recall: 0.9351, relative_absolute_error: 0.1316, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.9195, kappa: 0.8366, 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: 0.8245, f_measure: 0.8373, kappa: 0.6727, kb_relative_information_score: 7543.6123, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8764, predictive_accuracy: 0.8441, prior_entropy: 0.9906, recall: 0.8441, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7947,
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: 0.9728, 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: 0.5, 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: 0.9737, f_measure: 0.9747, kappa: 0.9486, kb_relative_information_score: 10484.3423, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.9906, recall: 0.9747, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.9195, kappa: 0.8366, 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: 0.5, 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: 0.9274, 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: 0.9355, f_measure: 0.9377, kappa: 0.8735, kb_relative_information_score: 9652.8677, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9379, predictive_accuracy: 0.9378, prior_entropy: 0.9906, recall: 0.9378, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.5022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9607, kappa: 0.9203, kb_relative_information_score: 10170.5014, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9608, predictive_accuracy: 0.9607, prior_entropy: 0.9906, recall: 0.9607, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.3989,
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: 0.9466, f_measure: 0.9486, kappa: 0.8958, kb_relative_information_score: 9899.457, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9488, predictive_accuracy: 0.9487, prior_entropy: 0.9906, recall: 0.9487, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.9252, kappa: 0.8481, kb_relative_information_score: 9377.7474, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9267, 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: 0.5618, f_measure: 0.5104, kappa: 0.1357, kb_relative_information_score: 2306.1377, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7712, predictive_accuracy: 0.6117, prior_entropy: 0.9906, recall: 0.6117, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6232, root_relative_squared_error: 1.2545,
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: 0.9276, f_measure: 0.9225, kappa: 0.8444, kb_relative_information_score: 9302.3441, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9283, predictive_accuracy: 0.9222, prior_entropy: 0.9906, recall: 0.9222, relative_absolute_error: 0.1576, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.5615,
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: 0.9547, f_measure: 0.953, kappa: 0.905, kb_relative_information_score: 9993.2016, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9539, predictive_accuracy: 0.9529, prior_entropy: 0.9906, recall: 0.9529, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9607, kappa: 0.9203, kb_relative_information_score: 10170.5014, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9608, predictive_accuracy: 0.9607, prior_entropy: 0.9906, recall: 0.9607, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.3989,
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: 0.9673, 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: 0.9204, f_measure: 0.9251, kappa: 0.8479, kb_relative_information_score: 9377.7474, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9272, 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: 0.9247, f_measure: 0.9271, kappa: 0.8521, kb_relative_information_score: 9416.4681, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9274, predictive_accuracy: 0.9273, prior_entropy: 0.9906, recall: 0.9273, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.5429,
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: 0.869, 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: 0.9382, f_measure: 0.9404, kappa: 0.879, kb_relative_information_score: 9714.0055, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9406, predictive_accuracy: 0.9405, prior_entropy: 0.9906, recall: 0.9405, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.244, root_relative_squared_error: 0.4911,
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: 0.9738, f_measure: 0.9747, kappa: 0.9488, kb_relative_information_score: 10486.3802, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.9906, recall: 0.9748, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.917, kappa: 0.8337, kb_relative_information_score: 9180.0684, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9241, predictive_accuracy: 0.9168, prior_entropy: 0.9906, recall: 0.9168, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9471, kappa: 0.8926, kb_relative_information_score: 9864.8122, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9473, predictive_accuracy: 0.9472, prior_entropy: 0.9906, recall: 0.9472, relative_absolute_error: 0.107, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9613, kappa: 0.9214, kb_relative_information_score: 10182.7289, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.9906, recall: 0.9613, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9635, kappa: 0.9261, kb_relative_information_score: 10233.6771, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 0.9906, recall: 0.9635, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.3844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9564, kappa: 0.9117, kb_relative_information_score: 10074.7188, mean_absolute_error: 0.0435, 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: 0.0882, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9684, kappa: 0.936, kb_relative_information_score: 10343.7252, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9906, recall: 0.9684, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9623, kappa: 0.9236, kb_relative_information_score: 10207.1841, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.9906, recall: 0.9624, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9684, kappa: 0.936, kb_relative_information_score: 10343.7252, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.9906, recall: 0.9684, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9582, kappa: 0.9153, kb_relative_information_score: 9538.705, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9584, predictive_accuracy: 0.9583, prior_entropy: 0.9906, recall: 0.9583, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9398, kappa: 0.8781, kb_relative_information_score: 9466.6203, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9399, predictive_accuracy: 0.9398, prior_entropy: 0.9906, recall: 0.9398, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2141, root_relative_squared_error: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9401, kappa: 0.8786, kb_relative_information_score: 9157.7423, mean_absolute_error: 0.0911, 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: 0.1847, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.4222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9484, kappa: 0.8952, kb_relative_information_score: 9374.6151, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9486, predictive_accuracy: 0.9484, prior_entropy: 0.9906, recall: 0.9484, relative_absolute_error: 0.1676, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9331, kappa: 0.8645, kb_relative_information_score: 9081.0519, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9331, predictive_accuracy: 0.9331, prior_entropy: 0.9906, recall: 0.9331, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9408, kappa: 0.8801, kb_relative_information_score: 9685.0712, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9408, predictive_accuracy: 0.9408, prior_entropy: 0.9906, recall: 0.9408, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9734, kappa: 0.946, kb_relative_information_score: 10404.2057, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9735, predictive_accuracy: 0.9734, prior_entropy: 0.9906, recall: 0.9734, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.2963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9298, kappa: 0.8576, kb_relative_information_score: 9207.8255, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9299, predictive_accuracy: 0.9299, prior_entropy: 0.9906, recall: 0.9299, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9419, kappa: 0.8821, kb_relative_information_score: 8746.5851, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9422, predictive_accuracy: 0.942, prior_entropy: 0.9906, recall: 0.942, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9385, kappa: 0.875, kb_relative_information_score: 8639.8729, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9395, predictive_accuracy: 0.9387, prior_entropy: 0.9906, recall: 0.9387, relative_absolute_error: 0.2416, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9383, kappa: 0.8748, kb_relative_information_score: 9663.8208, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9383, predictive_accuracy: 0.9383, prior_entropy: 0.9906, recall: 0.9383, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9571, kappa: 0.913, kb_relative_information_score: 9472.9559, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9576, predictive_accuracy: 0.9572, prior_entropy: 0.9906, recall: 0.9572, relative_absolute_error: 0.1548, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.926, kappa: 0.8498, kb_relative_information_score: 9083.3642, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9265, predictive_accuracy: 0.9262, prior_entropy: 0.9906, recall: 0.9262, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9127, kappa: 0.8226, kb_relative_information_score: 8786.8013, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.914, predictive_accuracy: 0.9131, prior_entropy: 0.9906, recall: 0.9131, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9633, kappa: 0.9256, kb_relative_information_score: 9902.7514, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9635, predictive_accuracy: 0.9634, prior_entropy: 0.9906, recall: 0.9634, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.901, kb_relative_information_score: 8161.1967, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9517, predictive_accuracy: 0.9513, prior_entropy: 0.9906, recall: 0.9513, relative_absolute_error: 0.3003, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3985, kb_relative_information_score: -0.0163, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.3102, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4967, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9382, kappa: 0.8747, kb_relative_information_score: 9347.5809, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9383, predictive_accuracy: 0.9383, prior_entropy: 0.9906, recall: 0.9383, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.4604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9355, kappa: 0.8693, kb_relative_information_score: 9181.8929, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9355, predictive_accuracy: 0.9355, prior_entropy: 0.9906, recall: 0.9355, relative_absolute_error: 0.1777, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9318, kappa: 0.862, kb_relative_information_score: 8918.8153, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9322, predictive_accuracy: 0.9317, prior_entropy: 0.9906, recall: 0.9317, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.4554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9356, kappa: 0.8694, kb_relative_information_score: 9175.5619, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9357, predictive_accuracy: 0.9357, prior_entropy: 0.9906, recall: 0.9357, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9073, kappa: 0.8123, kb_relative_information_score: 8964.0481, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9074, predictive_accuracy: 0.9072, prior_entropy: 0.9906, recall: 0.9072, relative_absolute_error: 0.1881, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.6133, usercpu_time_millis: 0.75, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9584, kappa: 0.9157, kb_relative_information_score: 9874.401, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9906, recall: 0.9585, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.929, kappa: 0.856, kb_relative_information_score: 9132.8545, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9293, predictive_accuracy: 0.9292, prior_entropy: 0.9906, recall: 0.9292, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9287, kappa: 0.8553, kb_relative_information_score: 9129.0628, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9289, predictive_accuracy: 0.9288, prior_entropy: 0.9906, recall: 0.9288, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.9267, kappa: 0.8514, kb_relative_information_score: 9404.2405, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9267, predictive_accuracy: 0.9267, prior_entropy: 0.9906, recall: 0.9267, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9247, kappa: 0.8471, kb_relative_information_score: 9006.3101, mean_absolute_error: 0.0952, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.925, predictive_accuracy: 0.9248, prior_entropy: 0.9906, recall: 0.9248, relative_absolute_error: 0.193, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9332, kappa: 0.8645, kb_relative_information_score: 9553.0092, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9334, predictive_accuracy: 0.9333, prior_entropy: 0.9906, recall: 0.9333, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9171, kappa: 0.832, kb_relative_information_score: 9188.2201, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9171, predictive_accuracy: 0.9171, prior_entropy: 0.9906, recall: 0.9171, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.5795,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs