OpenML
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 34537 Supervised Classification PhishingWebsites 29311 runs submitted
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  • OpenML100 study_107 study_123 study_14
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29311 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.7364, 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: 0.9999, 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: 0.6789, kb_relative_information_score: 14.4842, 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: 0.4967, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9172, kappa: 0.8319, kb_relative_information_score: 6082.7866, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9181, predictive_accuracy: 0.9175, prior_entropy: 0.9906, recall: 0.9175, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.5824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, kb_relative_information_score: 30.9193, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9978, 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: 0.8822, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 2904.6331, mean_absolute_error: 0.3926, 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: 0.7956, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 5381.626, mean_absolute_error: 0.2849, 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: 0.5773, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.715, kappa: 0.4234, kb_relative_information_score: 2515.469, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.73, predictive_accuracy: 0.7235, prior_entropy: 0.9906, recall: 0.7235, relative_absolute_error: 0.8028, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -4.54, 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: -9.7596, 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: 0.8836, kb_relative_information_score: 237.6961, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9848, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, kb_relative_information_score: 800.6374, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.6179, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0013, 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: 0.9327, kb_relative_information_score: 504.6529, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, kb_relative_information_score: 607.5639, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8728, kappa: 0.7414, kb_relative_information_score: 4504.5449, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8752, predictive_accuracy: 0.8736, prior_entropy: 0.9906, recall: 0.8736, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8875, kappa: 0.7721, kb_relative_information_score: 1999.0265, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8875, predictive_accuracy: 0.8875, prior_entropy: 0.9906, recall: 0.8875, relative_absolute_error: 0.8645, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, kb_relative_information_score: 674.747, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4757, root_relative_squared_error: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.8971, kappa: 0.7913, kb_relative_information_score: 6814.5031, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8972, predictive_accuracy: 0.8972, prior_entropy: 0.9906, recall: 0.8972, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -11.3525, 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: -1.4836, 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: 0.4999, kb_relative_information_score: 23.1295, 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: 0.9984, 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: -24.525, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0014, 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: 0.4998, kb_relative_information_score: -53.0195, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, kb_relative_information_score: 204.147, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.0953, 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: 1.0003, 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: 0.9487, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 3407.4845, mean_absolute_error: 0.3725, 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: 0.7547, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 5777.4977, mean_absolute_error: 0.2648, 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: 0.5366, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 2989.6666, mean_absolute_error: 0.3888, 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: 0.7878, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1.3232, 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: 0.9457, f_measure: 0.7434, kappa: 0.4943, kb_relative_information_score: 1338.8872, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8207, predictive_accuracy: 0.7632, prior_entropy: 0.9906, recall: 0.7632, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, kb_relative_information_score: 65.3473, 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: 0.4961, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -45.3485, 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: 1.0026, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, kb_relative_information_score: -5.8055, 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: 1.0003, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, kb_relative_information_score: 192.7247, 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: 0.9878, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.7668, 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: 0.9792, f_measure: 0.9214, kappa: 0.8405, kb_relative_information_score: 7819.5924, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9215, predictive_accuracy: 0.9215, prior_entropy: 0.9906, recall: 0.9215, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 176.2118, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.6916, 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: 0.9317, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 3024.7061, mean_absolute_error: 0.3875, 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: 0.7852, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -7.1585, 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: 0.616, kb_relative_information_score: 7.2254, 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: 0.9996, 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: 3.9022, 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: 0.5, kb_relative_information_score: 32.9945, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9977, 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: -23.4125, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0013, 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: 0.9424, kb_relative_information_score: 606.8218, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9598, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 7.5264, 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: 0.4999, kb_relative_information_score: -7.9799, 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: 0.5, kb_relative_information_score: -13.9477, 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: 0.9624, kb_relative_information_score: 237.2375, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -53.4692, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.697, kappa: 0.4163, kb_relative_information_score: 1153.3101, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8181, predictive_accuracy: 0.7299, prior_entropy: 0.9906, recall: 0.7299, relative_absolute_error: 0.9245, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.3156, 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: -6.2636, 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: 1.0003, 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: 0.5, kb_relative_information_score: 156.234, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.6568, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9992, 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: 18.0999, 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: -26.6848, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0015, 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: 12.9417, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9991, 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: 0.9636, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 3390.5449, mean_absolute_error: 0.373, 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: 0.7559, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.9402, 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: 1.0003, 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: 0.5, kb_relative_information_score: -32.9062, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0019, 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: -1.7269, 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: 0.9772, f_measure: 0.6143, kappa: 0.2831, kb_relative_information_score: 978.1118, mean_absolute_error: 0.4625, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7939, predictive_accuracy: 0.6729, prior_entropy: 0.9906, recall: 0.6729, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -7.7342, 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: 0.9436, kb_relative_information_score: 22.6678, 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: 0.496, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 38.6731, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, kb_relative_information_score: 121.1732, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, kb_relative_information_score: 586.6704, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4784, root_relative_squared_error: 0.9631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.1488, 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: -4.909, 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: 1.0003, 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: 0.5, kb_relative_information_score: 0.4886, 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: 0.9784, f_measure: 0.9209, kappa: 0.8394, kb_relative_information_score: 8692.9888, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9215, predictive_accuracy: 0.9211, prior_entropy: 0.9906, recall: 0.9211, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 6905.5473, mean_absolute_error: 0.2053, 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: 0.4161, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -9.2175, 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: 0.5, kb_relative_information_score: -48.0855, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, kb_relative_information_score: 42.3736, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 16.8663, 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: 0.9217, kb_relative_information_score: 45.5242, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.8262, 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: 0.9984, 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: 0.9762, f_measure: 0.9188, kappa: 0.8351, kb_relative_information_score: 8399.6764, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9195, predictive_accuracy: 0.919, prior_entropy: 0.9906, recall: 0.919, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.5892, 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: 0.9772, f_measure: 0.9129, kappa: 0.8236, kb_relative_information_score: 7482.5226, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.913, predictive_accuracy: 0.9128, prior_entropy: 0.9906, recall: 0.9128, relative_absolute_error: 0.3622, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.2665, 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: 0.9996, 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: 10.9128, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9992, 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: 0.9174, kb_relative_information_score: 12.9309, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 7.5685, 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: 0.4999, kb_relative_information_score: 1.4316, 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: 0.8861, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 1899.8665, mean_absolute_error: 0.4304, 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: 0.8721, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1.2803, 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: 0.9712, f_measure: 0.9023, kappa: 0.8019, kb_relative_information_score: 5527.4244, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9025, predictive_accuracy: 0.9025, prior_entropy: 0.9906, recall: 0.9025, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3107, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -14.3749, 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: 0.9595, kb_relative_information_score: 95.268, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9332, kappa: 0.8644, kb_relative_information_score: 8508.2632, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9333, predictive_accuracy: 0.9332, prior_entropy: 0.9906, recall: 0.9332, relative_absolute_error: 0.2534, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8887, kappa: 0.7741, kb_relative_information_score: 4661.7071, mean_absolute_error: 0.3183, 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: 0.6449, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -90.5495, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.6454, kappa: 0.3281, kb_relative_information_score: 882.3021, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.7868, predictive_accuracy: 0.6913, prior_entropy: 0.9906, recall: 0.6913, relative_absolute_error: 0.9436, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1.2632, 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: 0.5, kb_relative_information_score: -51.0846, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, kb_relative_information_score: 64.2925, 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: 0.4958, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 1928.8033, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8709, predictive_accuracy: 0.8599, prior_entropy: 0.9906, recall: 0.8599, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.8743,

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

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

OpenML APIs