OpenML
Supervised Classification on micro-mass

Supervised Classification on micro-mass

Task 9950 Supervised Classification micro-mass 13958 runs submitted
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  • OpenML100 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, kb_relative_information_score: 36.9561, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9512, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2959, root_relative_squared_error: 1.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, kb_relative_information_score: 36.6566, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2837, root_relative_squared_error: 1.3081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4742, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, kb_relative_information_score: 54.2946, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2539, root_relative_squared_error: 1.1708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, kb_relative_information_score: 36.7221, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.286, root_relative_squared_error: 1.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4742, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4742, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, kb_relative_information_score: 58.8552, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2449, root_relative_squared_error: 1.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, kb_relative_information_score: 1.9121, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, kb_relative_information_score: 56.1947, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2339, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, kb_relative_information_score: 39.5476, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2736, root_relative_squared_error: 1.2615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, kb_relative_information_score: 55.3577, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.1638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4742, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, kb_relative_information_score: 10.7853, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2171, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4735, kb_relative_information_score: 19.2545, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.0543, prior_entropy: 4.208, recall: 0.0543, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.218, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4742, kb_relative_information_score: 37.0212, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2992, root_relative_squared_error: 1.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, kb_relative_information_score: 1.4272, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2169, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4738, kb_relative_information_score: 48.0702, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1051, prior_entropy: 4.208, recall: 0.1051, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2614, root_relative_squared_error: 1.2052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.4025, kappa: 0.3482, kb_relative_information_score: 132.6288, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6134, predictive_accuracy: 0.4028, prior_entropy: 4.208, recall: 0.4028, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.4562, kappa: 0.3645, kb_relative_information_score: 140.4888, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6932, predictive_accuracy: 0.4168, prior_entropy: 4.208, recall: 0.4168, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.6908, kappa: 0.6519, kb_relative_information_score: 330.8803, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7446, predictive_accuracy: 0.6725, prior_entropy: 4.208, recall: 0.6725, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.7187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, f_measure: 0.6968, kappa: 0.6752, kb_relative_information_score: 275.9276, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7253, predictive_accuracy: 0.6953, prior_entropy: 4.208, recall: 0.6953, relative_absolute_error: 0.7546, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.8095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.6562, kappa: 0.6257, kb_relative_information_score: 287.1668, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7327, predictive_accuracy: 0.6497, prior_entropy: 4.208, recall: 0.6497, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.8017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.77, kappa: 0.7521, kb_relative_information_score: 385.0458, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7789, predictive_accuracy: 0.7671, prior_entropy: 4.208, recall: 0.7671, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, kappa: 0.1812, kb_relative_information_score: 115.2844, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.2504, prior_entropy: 4.208, recall: 0.2504, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.4891, kappa: 0.4507, kb_relative_information_score: 179.4607, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.6285, predictive_accuracy: 0.4939, prior_entropy: 4.208, recall: 0.4939, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.9046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.7754, kappa: 0.7619, kb_relative_information_score: 444.7518, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7835, predictive_accuracy: 0.7758, prior_entropy: 4.208, recall: 0.7758, relative_absolute_error: 0.2459, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.142, root_relative_squared_error: 0.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, kappa: 0.07, kb_relative_information_score: 71.6978, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.1629, prior_entropy: 4.208, recall: 0.1629, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.212, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.7531, kappa: 0.7185, kb_relative_information_score: 365.3329, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8052, predictive_accuracy: 0.7356, prior_entropy: 4.208, recall: 0.7356, relative_absolute_error: 0.5529, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.153, root_relative_squared_error: 0.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8279, kappa: 0.8174, kb_relative_information_score: 466.0138, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8372, predictive_accuracy: 0.8284, prior_entropy: 4.208, recall: 0.8284, relative_absolute_error: 0.1824, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.131, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.848, kappa: 0.8416, kb_relative_information_score: 486.7398, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.852, predictive_accuracy: 0.8511, prior_entropy: 4.208, recall: 0.8511, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.105, root_relative_squared_error: 0.4842,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.1).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.8543, kappa: 0.8473, kb_relative_information_score: 470.4096, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8726, predictive_accuracy: 0.8564, prior_entropy: 4.208, recall: 0.8564, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8185, kappa: 0.808, kb_relative_information_score: 467.5883, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8295, predictive_accuracy: 0.8196, prior_entropy: 4.208, recall: 0.8196, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1132, root_relative_squared_error: 0.5217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8441, kappa: 0.8341, kb_relative_information_score: 470.0023, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8556, predictive_accuracy: 0.8441, prior_entropy: 4.208, recall: 0.8441, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, kappa: 0.7342, kb_relative_information_score: 432.637, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7496, prior_entropy: 4.208, recall: 0.7496, relative_absolute_error: 0.365, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.6138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, kappa: 0.7058, kb_relative_information_score: 385.7609, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7233, prior_entropy: 4.208, recall: 0.7233, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8516, kappa: 0.847, kb_relative_information_score: 461.7912, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8602, predictive_accuracy: 0.8564, prior_entropy: 4.208, recall: 0.8564, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.5086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, kappa: 0.836, kb_relative_information_score: 445.8454, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8459, prior_entropy: 4.208, recall: 0.8459, relative_absolute_error: 0.4199, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8697, kappa: 0.862, kb_relative_information_score: 472.3749, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8762, predictive_accuracy: 0.8704, prior_entropy: 4.208, recall: 0.8704, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, kappa: 0.7763, kb_relative_information_score: 404.9327, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7898, prior_entropy: 4.208, recall: 0.7898, relative_absolute_error: 0.5477, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.6579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, kappa: 0.7306, kb_relative_information_score: 437.8933, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7461, prior_entropy: 4.208, recall: 0.7461, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.7658, kappa: 0.748, kb_relative_information_score: 455.1672, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.7747, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.124, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, kappa: 0.8087, kb_relative_information_score: 323.8122, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8214, prior_entropy: 4.208, recall: 0.8214, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.7705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, kappa: 0.7654, kb_relative_information_score: 443.9699, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7793, prior_entropy: 4.208, recall: 0.7793, relative_absolute_error: 0.3715, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.5713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, kappa: 0.7821, kb_relative_information_score: 423.1501, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7951, prior_entropy: 4.208, recall: 0.7951, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.8672, kappa: 0.8638, kb_relative_information_score: 465.1391, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8854, predictive_accuracy: 0.8722, prior_entropy: 4.208, recall: 0.8722, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.4983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.8646, kappa: 0.8546, kb_relative_information_score: 484.126, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8715, predictive_accuracy: 0.8634, prior_entropy: 4.208, recall: 0.8634, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, kappa: 0.702, kb_relative_information_score: 353.5332, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7215, prior_entropy: 4.208, recall: 0.7215, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.8459, kappa: 0.8398, kb_relative_information_score: 467.3332, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8663, predictive_accuracy: 0.8494, prior_entropy: 4.208, recall: 0.8494, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.5077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.835, kappa: 0.8302, kb_relative_information_score: 463.7351, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8373, predictive_accuracy: 0.8406, prior_entropy: 4.208, recall: 0.8406, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.5124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, kappa: 0.8339, kb_relative_information_score: 421.4865, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8441, prior_entropy: 4.208, recall: 0.8441, relative_absolute_error: 0.4959, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, kappa: 0.7488, kb_relative_information_score: 441.8511, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7636, prior_entropy: 4.208, recall: 0.7636, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.5845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, kappa: 0.8175, kb_relative_information_score: 435.9519, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8284, prior_entropy: 4.208, recall: 0.8284, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, kappa: 0.8356, kb_relative_information_score: 401.7203, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8459, prior_entropy: 4.208, recall: 0.8459, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.14, root_relative_squared_error: 0.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, kappa: 0.8101, kb_relative_information_score: 429.4125, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8214, prior_entropy: 4.208, recall: 0.8214, relative_absolute_error: 0.4678, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.6003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.7951, kappa: 0.78, kb_relative_information_score: 471.0731, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8048, predictive_accuracy: 0.7933, prior_entropy: 4.208, recall: 0.7933, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1163, root_relative_squared_error: 0.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, kappa: 0.862, kb_relative_information_score: 451.5376, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8704, prior_entropy: 4.208, recall: 0.8704, relative_absolute_error: 0.4117, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, kappa: 0.797, kb_relative_information_score: 442.4157, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8091, prior_entropy: 4.208, recall: 0.8091, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.5652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, kappa: 0.7143, kb_relative_information_score: 375.4736, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.732, prior_entropy: 4.208, recall: 0.732, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.7215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8558, kappa: 0.8526, kb_relative_information_score: 463.0362, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8721, predictive_accuracy: 0.8616, prior_entropy: 4.208, recall: 0.8616, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, kappa: 0.7971, kb_relative_information_score: 421.2303, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8091, prior_entropy: 4.208, recall: 0.8091, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, kappa: 0.773, kb_relative_information_score: 436.7096, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.7863, prior_entropy: 4.208, recall: 0.7863, relative_absolute_error: 0.3992, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.8717, kappa: 0.8639, kb_relative_information_score: 471.2351, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8806, predictive_accuracy: 0.8722, prior_entropy: 4.208, recall: 0.8722, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.106, root_relative_squared_error: 0.4887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.8532, kappa: 0.8434, kb_relative_information_score: 479.7775, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8597, predictive_accuracy: 0.8529, prior_entropy: 4.208, recall: 0.8529, relative_absolute_error: 0.2696, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.4827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, kappa: 0.8508, kb_relative_information_score: 460.8293, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8599, prior_entropy: 4.208, recall: 0.8599, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9063, kappa: 0.9013, kb_relative_information_score: 478.1118, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.9132, predictive_accuracy: 0.9072, prior_entropy: 4.208, recall: 0.9072, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.4646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, kappa: 0.8302, kb_relative_information_score: 420.9637, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8406, prior_entropy: 4.208, recall: 0.8406, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.6066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.8475, kappa: 0.8433, kb_relative_information_score: 460.1345, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.0941, number_of_instances: 571, precision: 0.8542, predictive_accuracy: 0.8529, prior_entropy: 4.208, recall: 0.8529, relative_absolute_error: 0.3663, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.5139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, kappa: 0.8232, kb_relative_information_score: 443.3104, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.0941, number_of_instances: 571, predictive_accuracy: 0.8336, prior_entropy: 4.208, recall: 0.8336, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.2169, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.5643,

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