OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97277 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0017, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.4992, kappa: 0.0779, kb_relative_information_score: 0.078, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5752, number_of_instances: 14980, precision: 0.586, predictive_accuracy: 0.5752, prior_entropy: 0.9924, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9903, unweighted_recall: 0.5363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.0169, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.009, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.5129, kappa: 0.0923, kb_relative_information_score: 0.019, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5803, number_of_instances: 14980, precision: 0.591, predictive_accuracy: 0.5803, prior_entropy: 0.9924, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.99, unweighted_recall: 0.5431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.6279, kappa: 0.2531, kb_relative_information_score: -0.0053, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6415, number_of_instances: 14980, precision: 0.643, predictive_accuracy: 0.6415, prior_entropy: 0.9924, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9981, unweighted_recall: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.5492, kappa: 0.0982, kb_relative_information_score: 0.1238, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5685, number_of_instances: 14980, precision: 0.5598, predictive_accuracy: 0.5685, prior_entropy: 0.9924, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6569, root_relative_squared_error: 1.3207, unweighted_recall: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6096, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: 0, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5511, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0001, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.577, kappa: 0.1549, kb_relative_information_score: 0.0626, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4948, weighted_recall: 0.576, number_of_instances: 14980, precision: 0.5833, predictive_accuracy: 0.576, prior_entropy: 0.9924, relative_absolute_error: 0.9459, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9887, unweighted_recall: 0.5785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4736, f_measure: 0.4791, kappa: -0.0527, kb_relative_information_score: -0.0577, mean_absolute_error: 0.5209, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4791, number_of_instances: 14980, precision: 0.4792, predictive_accuracy: 0.4791, prior_entropy: 0.9924, relative_absolute_error: 1.0528, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7217, root_relative_squared_error: 1.4511, unweighted_recall: 0.4736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.5123, kappa: 0.1119, kb_relative_information_score: 0.013, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5922, number_of_instances: 14980, precision: 0.6346, predictive_accuracy: 0.5922, prior_entropy: 0.9924, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9945, unweighted_recall: 0.5519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5069, f_measure: 0.4229, kappa: 0.0163, kb_relative_information_score: 0.0026, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5554, number_of_instances: 14980, precision: 0.5609, predictive_accuracy: 0.5554, prior_entropy: 0.9924, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.999, unweighted_recall: 0.5074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, f_measure: 0.5281, kappa: 0.101, kb_relative_information_score: 0.0325, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5811, number_of_instances: 14980, precision: 0.5839, predictive_accuracy: 0.5811, prior_entropy: 0.9924, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9854, unweighted_recall: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.5313, kappa: 0.0801, kb_relative_information_score: 0.0514, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5328, number_of_instances: 14980, precision: 0.5475, predictive_accuracy: 0.5328, prior_entropy: 0.9924, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6835, root_relative_squared_error: 1.3742, unweighted_recall: 0.5411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.2914, kappa: 0.0054, kb_relative_information_score: -0.0692, mean_absolute_error: 0.5226, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4527, number_of_instances: 14980, precision: 0.5914, predictive_accuracy: 0.4527, prior_entropy: 0.9924, relative_absolute_error: 1.0563, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6084, root_relative_squared_error: 1.2233, unweighted_recall: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3919, kappa: 0.0002, kb_relative_information_score: 0.0888, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5513, number_of_instances: 14980, precision: 0.7526, predictive_accuracy: 0.5513, prior_entropy: 0.9924, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3468, unweighted_recall: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5356, f_measure: 0.4737, kappa: 0.0775, kb_relative_information_score: 0.1482, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5805, number_of_instances: 14980, precision: 0.6519, predictive_accuracy: 0.5805, prior_entropy: 0.9924, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6477, root_relative_squared_error: 1.3022, unweighted_recall: 0.5356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4283, f_measure: 0.4533, kappa: -0.1066, kb_relative_information_score: -0.1024, mean_absolute_error: 0.5422, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4544, number_of_instances: 14980, precision: 0.4524, predictive_accuracy: 0.4544, prior_entropy: 0.9924, relative_absolute_error: 1.0959, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6628, root_relative_squared_error: 1.3326, unweighted_recall: 0.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0887, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4856, kb_relative_information_score: -0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0887, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9071, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6699, root_relative_squared_error: 1.3469, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.2831, kappa: 0.003, kb_relative_information_score: -0.0771, mean_absolute_error: 0.5265, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4507, number_of_instances: 14980, precision: 0.6633, predictive_accuracy: 0.4507, prior_entropy: 0.9924, relative_absolute_error: 1.0642, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6249, root_relative_squared_error: 1.2565, unweighted_recall: 0.5017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5031, f_measure: 0.398, kappa: 0.0009, kb_relative_information_score: 0.0008, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5508, number_of_instances: 14980, precision: 0.5167, predictive_accuracy: 0.5508, prior_entropy: 0.9924, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9998, unweighted_recall: 0.5004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5085, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 0.0834, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, precision: 0.5282, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6563, root_relative_squared_error: 1.3195, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3918, kappa: -0.0001, kb_relative_information_score: 0.0885, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5511, number_of_instances: 14980, precision: 0.4534, predictive_accuracy: 0.5511, prior_entropy: 0.9924, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.67, root_relative_squared_error: 1.347, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5287, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.488, kappa: -0.0027, kb_relative_information_score: -0.0161, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4948, weighted_recall: 0.527, number_of_instances: 14980, precision: 0.5035, predictive_accuracy: 0.527, prior_entropy: 0.9924, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0054, unweighted_recall: 0.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.2874, kappa: 0.0028, kb_relative_information_score: -0.1147, mean_absolute_error: 0.5489, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4511, number_of_instances: 14980, precision: 0.5625, predictive_accuracy: 0.4511, prior_entropy: 0.9924, relative_absolute_error: 1.1095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7409, root_relative_squared_error: 1.4896, unweighted_recall: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.2874, kappa: 0.0028, kb_relative_information_score: -0.1147, mean_absolute_error: 0.5489, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4511, number_of_instances: 14980, precision: 0.5625, predictive_accuracy: 0.4511, prior_entropy: 0.9924, relative_absolute_error: 1.1095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7409, root_relative_squared_error: 1.4896, unweighted_recall: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.2874, kappa: 0.0028, kb_relative_information_score: -0.1147, mean_absolute_error: 0.5489, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4511, number_of_instances: 14980, precision: 0.5625, predictive_accuracy: 0.4511, prior_entropy: 0.9924, relative_absolute_error: 1.1095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7409, root_relative_squared_error: 1.4896, unweighted_recall: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.2874, kappa: 0.0028, kb_relative_information_score: -0.1147, mean_absolute_error: 0.5489, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4511, number_of_instances: 14980, precision: 0.5625, predictive_accuracy: 0.4511, prior_entropy: 0.9924, relative_absolute_error: 1.1095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7409, root_relative_squared_error: 1.4896, unweighted_recall: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.2874, kappa: 0.0028, kb_relative_information_score: -0.1147, mean_absolute_error: 0.5489, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4511, number_of_instances: 14980, precision: 0.5625, predictive_accuracy: 0.4511, prior_entropy: 0.9924, relative_absolute_error: 1.1095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7409, root_relative_squared_error: 1.4896, unweighted_recall: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.2874, kappa: 0.0028, kb_relative_information_score: -0.1147, mean_absolute_error: 0.5489, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4511, number_of_instances: 14980, precision: 0.5625, predictive_accuracy: 0.4511, prior_entropy: 0.9924, relative_absolute_error: 1.1095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7409, root_relative_squared_error: 1.4896, unweighted_recall: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.2874, kappa: 0.0028, kb_relative_information_score: -0.1147, mean_absolute_error: 0.5489, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4511, number_of_instances: 14980, precision: 0.5625, predictive_accuracy: 0.4511, prior_entropy: 0.9924, relative_absolute_error: 1.1095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7409, root_relative_squared_error: 1.4896, unweighted_recall: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.2874, kappa: 0.0028, kb_relative_information_score: -0.1147, mean_absolute_error: 0.5489, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4511, number_of_instances: 14980, precision: 0.5625, predictive_accuracy: 0.4511, prior_entropy: 0.9924, relative_absolute_error: 1.1095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7409, root_relative_squared_error: 1.4896, unweighted_recall: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6364, kappa: 0.2633, kb_relative_information_score: 0.1946, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4948, weighted_recall: 0.64, number_of_instances: 14980, precision: 0.6375, predictive_accuracy: 0.64, prior_entropy: 0.9924, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9852, unweighted_recall: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.6327, kappa: 0.2587, kb_relative_information_score: 0.0988, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6418, number_of_instances: 14980, precision: 0.6406, predictive_accuracy: 0.6418, prior_entropy: 0.9924, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9553, unweighted_recall: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.6789, kappa: 0.3494, kb_relative_information_score: -0.0064, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6809, number_of_instances: 14980, precision: 0.6794, predictive_accuracy: 0.6809, prior_entropy: 0.9924, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9988, unweighted_recall: 0.6732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.0161, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0053, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5512, number_of_instances: 14980, predictive_accuracy: 0.5512, prior_entropy: 0.9924, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.3987, kappa: 0.0657, kb_relative_information_score: -0.0279, mean_absolute_error: 0.5062, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4938, number_of_instances: 14980, precision: 0.6208, predictive_accuracy: 0.4938, prior_entropy: 0.9924, relative_absolute_error: 1.0231, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7115, root_relative_squared_error: 1.4305, unweighted_recall: 0.536,

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

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From your own software

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

OpenML APIs