OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 34537 Supervised Classification PhishingWebsites 29311 runs submitted
0 likes downloaded by 1 people , 2 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14
Issue #Downvotes for this reason By


Metric:

29311 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: 0.4999, kb_relative_information_score: 23.5176, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 119.8791, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.1946, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0053, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9999, 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: 0.5, kb_relative_information_score: 3.8924, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9997, 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: 0.9407, kb_relative_information_score: 122.6404, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.8027, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9997, 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: 0.9544, kb_relative_information_score: 541.92, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9315, kappa: 0.8611, kb_relative_information_score: 8459.1507, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9906, recall: 0.9316, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.226, root_relative_squared_error: 0.4549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -2.844, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0001, 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: 0.9663, f_measure: 0.8109, kappa: 0.622, kb_relative_information_score: 1220.6102, mean_absolute_error: 0.454, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8646, predictive_accuracy: 0.8212, prior_entropy: 0.9906, recall: 0.8212, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4578, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.5535, kappa: 0.1941, kb_relative_information_score: 830.5089, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7798, predictive_accuracy: 0.6357, prior_entropy: 0.9906, recall: 0.6357, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.0945, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0002, 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: 0.93, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 3719.1161, mean_absolute_error: 0.3591, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.7277, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.7523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.9494, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.429, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0002, 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: 0.9501, f_measure: 0.8792, kappa: 0.7545, kb_relative_information_score: 3083.2724, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8813, predictive_accuracy: 0.88, prior_entropy: 0.9906, recall: 0.88, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9421, kappa: 0.8825, kb_relative_information_score: 8668.7756, mean_absolute_error: 0.1193, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.9906, recall: 0.9421, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.1949, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0001, 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: 0.4999, kb_relative_information_score: -10.3854, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.901, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -19.5084, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.4597, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9382, kappa: 0.8747, kb_relative_information_score: 8792.6027, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9384, predictive_accuracy: 0.9383, prior_entropy: 0.9906, recall: 0.9383, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2146, root_relative_squared_error: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, kb_relative_information_score: 733.7784, mean_absolute_error: 0.4703, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.953, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, kb_relative_information_score: 122.4342, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8909, kappa: 0.7787, kb_relative_information_score: 7589.9578, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8909, predictive_accuracy: 0.891, prior_entropy: 0.9906, recall: 0.891, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9306, kappa: 0.8591, kb_relative_information_score: 5967.858, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9309, predictive_accuracy: 0.9307, prior_entropy: 0.9906, recall: 0.9307, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.5801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7228, kappa: 0.4383, kb_relative_information_score: 1966.5529, mean_absolute_error: 0.4215, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.735, predictive_accuracy: 0.7299, prior_entropy: 0.9906, recall: 0.7299, relative_absolute_error: 0.8541, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, kb_relative_information_score: 69.6791, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, kb_relative_information_score: -8.6597, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.6664, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0003, 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: 0.4999, kb_relative_information_score: -1.0541, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0001, 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: 0.4999, kb_relative_information_score: 7.3067, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9054, kappa: 0.8081, kb_relative_information_score: 6705.583, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9056, predictive_accuracy: 0.9056, prior_entropy: 0.9906, recall: 0.9056, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -4.4563, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0002, 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: 0.4999, kb_relative_information_score: -9.817, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, kb_relative_information_score: 64.5484, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 2314.0757, mean_absolute_error: 0.415, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.8996, kappa: 0.7965, kb_relative_information_score: 5848.9016, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8996, predictive_accuracy: 0.8997, prior_entropy: 0.9906, recall: 0.8997, relative_absolute_error: 0.5326, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -386.2691, mean_absolute_error: 0.5053, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.4431, prior_entropy: 0.9906, recall: 0.4431, relative_absolute_error: 1.024, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.5075, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9325, kappa: 0.8629, kb_relative_information_score: 8622.1654, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9329, predictive_accuracy: 0.9326, prior_entropy: 0.9906, recall: 0.9326, relative_absolute_error: 0.2404, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -12.886, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, kb_relative_information_score: 86.2823, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -6.8333, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, kb_relative_information_score: 26.6335, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 16.3856, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.1256, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.8914, kappa: 0.7797, kb_relative_information_score: 5118.4456, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8916, predictive_accuracy: 0.8916, prior_entropy: 0.9906, recall: 0.8916, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8283, kappa: 0.6513, kb_relative_information_score: 5233.8701, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8371, predictive_accuracy: 0.8311, prior_entropy: 0.9906, recall: 0.8311, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -58.6163, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8252, kappa: 0.6487, kb_relative_information_score: 1795.7084, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8662, predictive_accuracy: 0.8329, prior_entropy: 0.9906, recall: 0.8329, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9464, kappa: 0.8914, kb_relative_information_score: 8918.054, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9464, predictive_accuracy: 0.9464, prior_entropy: 0.9906, recall: 0.9464, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.7403, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9999, 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: 0.9811, f_measure: 0.8664, kappa: 0.7297, kb_relative_information_score: 1895.8419, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8915, predictive_accuracy: 0.8704, prior_entropy: 0.9906, recall: 0.8704, relative_absolute_error: 0.8723, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, kb_relative_information_score: 83.7457, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.088, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0001, 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: 0.9325, kb_relative_information_score: 211.7733, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.2883, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, kb_relative_information_score: 108.7252, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 14.3747, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6048.4688, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.5091, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 51.8415, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, kb_relative_information_score: 196.9743, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9277, kappa: 0.8533, kb_relative_information_score: 8140.7691, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9279, predictive_accuracy: 0.9278, prior_entropy: 0.9906, recall: 0.9278, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.4725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, kb_relative_information_score: 0.3813, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -8.8698, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 5302.0458, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, kb_relative_information_score: 34.0337, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7374, kappa: 0.4668, kb_relative_information_score: 2730.47, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7445, predictive_accuracy: 0.7421, prior_entropy: 0.9906, recall: 0.7421, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.4996, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9998, 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: 0.8251, kb_relative_information_score: 8.082, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8088, kappa: 0.6168, kb_relative_information_score: 1686.6273, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8556, predictive_accuracy: 0.8183, prior_entropy: 0.9906, recall: 0.8183, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4426, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8831, kb_relative_information_score: 8.5608, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9172, kappa: 0.832, kb_relative_information_score: 7594.4509, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9173, predictive_accuracy: 0.9173, prior_entropy: 0.9906, recall: 0.9173, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 7116.3564, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -44.8358, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.5763, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, 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: 0.9385, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6831.9416, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.303, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.889, kappa: 0.7748, kb_relative_information_score: 3517.5736, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8893, predictive_accuracy: 0.8893, prior_entropy: 0.9906, recall: 0.8893, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.601, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, kb_relative_information_score: 71.7707, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 2515.9068, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 8.5368, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, kb_relative_information_score: 528.0156, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9024, kappa: 0.8015, kb_relative_information_score: 4376.8015, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9059, predictive_accuracy: 0.9031, prior_entropy: 0.9906, recall: 0.9031, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 5771.1808, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.5396, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, kb_relative_information_score: 78.7509, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4941, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 3083.7343, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8889, predictive_accuracy: 0.8889, prior_entropy: 0.9906, recall: 0.8889, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.396, root_relative_squared_error: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 43.3602, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9136, kappa: 0.8246, kb_relative_information_score: 8167.1445, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.914, predictive_accuracy: 0.9138, prior_entropy: 0.9906, recall: 0.9138, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.179, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9998, 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: 0.4999, kb_relative_information_score: -0.6259, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, 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: 0.9459, f_measure: 0.8885, kappa: 0.7737, kb_relative_information_score: 7220.3029, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8888, predictive_accuracy: 0.8887, prior_entropy: 0.9906, recall: 0.8887, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.293, root_relative_squared_error: 0.5899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -81.2288, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8324, kappa: 0.6619, kb_relative_information_score: 1654.1691, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8639, predictive_accuracy: 0.8385, prior_entropy: 0.9906, recall: 0.8385, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -12.4788, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4968, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, kb_relative_information_score: 393.198, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, kb_relative_information_score: 152.2187, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9895,

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