Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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129575 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.583, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0855, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.7266, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0857, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.4668, kappa: -0.194, kb_relative_information_score: -20.422, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4051, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.0221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.6256, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0856, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.4641, kappa: -0.2023, kb_relative_information_score: -21.0434, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4037, predictive_accuracy: 0.5458, prior_entropy: 0.9279, recall: 0.5458, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4862, root_relative_squared_error: 1.0243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.5879, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0855, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, kb_relative_information_score: 21.0802, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, kb_relative_information_score: 33.9143, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.4794, kappa: -0.1546, kb_relative_information_score: -17.6751, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4115, predictive_accuracy: 0.574, prior_entropy: 0.9279, recall: 0.574, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4825, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.4641, kappa: -0.2023, kb_relative_information_score: -20.9845, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4037, predictive_accuracy: 0.5458, prior_entropy: 0.9279, recall: 0.5458, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.4641, kappa: -0.2023, kb_relative_information_score: -20.9981, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4037, predictive_accuracy: 0.5458, prior_entropy: 0.9279, recall: 0.5458, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.4641, kappa: -0.2023, kb_relative_information_score: -21.1081, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4037, predictive_accuracy: 0.5458, prior_entropy: 0.9279, recall: 0.5458, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4863, root_relative_squared_error: 1.0246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.5919, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0855, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.5149, kappa: -0.0263, kb_relative_information_score: -7.8553, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4289, predictive_accuracy: 0.6439, prior_entropy: 0.9279, recall: 0.6439, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.5651, kappa: 0.0925, kb_relative_information_score: -77.2882, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5942, predictive_accuracy: 0.5541, prior_entropy: 0.9279, recall: 0.5541, relative_absolute_error: 1.0872, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.5858, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0855, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.4632, kappa: -0.205, kb_relative_information_score: -21.1488, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4032, predictive_accuracy: 0.5441, prior_entropy: 0.9279, recall: 0.5441, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.4668, kappa: -0.194, kb_relative_information_score: -20.4401, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4051, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4852, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.8269, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0858, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.465, kappa: -0.1995, kb_relative_information_score: -20.9552, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4042, predictive_accuracy: 0.5474, prior_entropy: 0.9279, recall: 0.5474, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.486, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.7176, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0856, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.4767, kappa: -0.1632, kb_relative_information_score: -18.5435, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4102, predictive_accuracy: 0.5691, prior_entropy: 0.9279, recall: 0.5691, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4832, root_relative_squared_error: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, f_measure: 0.5425, kappa: 0.0055, kb_relative_information_score: -77.7274, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5519, predictive_accuracy: 0.5358, prior_entropy: 0.9279, recall: 0.5358, relative_absolute_error: 1.0827, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, kb_relative_information_score: 3.6415, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7406, kappa: 0.4098, kb_relative_information_score: 128.3765, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.769, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.7996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.5561, kappa: 0.049, kb_relative_information_score: 45.6459, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6596, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.465, kappa: -0.1995, kb_relative_information_score: -20.6523, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4042, predictive_accuracy: 0.5474, prior_entropy: 0.9279, recall: 0.5474, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.4641, kappa: -0.2023, kb_relative_information_score: -21.1345, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4037, predictive_accuracy: 0.5458, prior_entropy: 0.9279, recall: 0.5458, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.0247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.5458, kappa: 0.0211, kb_relative_information_score: -78.1431, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5592, predictive_accuracy: 0.5374, prior_entropy: 0.9279, recall: 0.5374, relative_absolute_error: 1.0835, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -76.4704, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0864, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5058, root_relative_squared_error: 1.0657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.7767, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0857, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.465, kappa: -0.1995, kb_relative_information_score: -20.8623, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4042, predictive_accuracy: 0.5474, prior_entropy: 0.9279, recall: 0.5474, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -76.149, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0861, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8627, kappa: 0.6936, kb_relative_information_score: 287.1105, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8624, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 23.2103, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.5075, kappa: -0.0551, kb_relative_information_score: -10.1403, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4254, predictive_accuracy: 0.629, prior_entropy: 0.9279, recall: 0.629, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.6101, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0855, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.84, kappa: 0.6412, kb_relative_information_score: 257.6369, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8399, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.7075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9667, kappa: 0.926, kb_relative_information_score: 426.9418, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9279, recall: 0.9667, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -75.6886, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0856, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5063, root_relative_squared_error: 1.0667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, kb_relative_information_score: 3.8927, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5619, kappa: 0.0857, kb_relative_information_score: -76.2365, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.591, predictive_accuracy: 0.5507, prior_entropy: 0.9279, recall: 0.5507, relative_absolute_error: 1.0862, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.506, root_relative_squared_error: 1.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, kb_relative_information_score: -2.0988, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.626, kappa: 0.1809, kb_relative_information_score: 71.1002, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7595, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.5566, kappa: 0.0666, kb_relative_information_score: -79.3535, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5812, predictive_accuracy: 0.5458, prior_entropy: 0.9279, recall: 0.5458, relative_absolute_error: 1.0872, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, kb_relative_information_score: -7.7413, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -14.9996, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009,

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