OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97291 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: 0.5, kb_relative_information_score: 0.0004, mean_absolute_error: 0.4946, 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: 0.9996, 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: 0.5002, f_measure: 0.4861, kappa: 0.0003, kb_relative_information_score: -0.0358, mean_absolute_error: 0.5101, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4899, number_of_instances: 14980, precision: 0.5054, predictive_accuracy: 0.4899, prior_entropy: 0.9924, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7142, root_relative_squared_error: 1.4359, unweighted_recall: 0.5002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.1193, mean_absolute_error: 0.5512, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4488, number_of_instances: 14980, predictive_accuracy: 0.4488, prior_entropy: 0.9924, relative_absolute_error: 1.1141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7424, root_relative_squared_error: 1.4927, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.3919, kappa: 0.0002, kb_relative_information_score: 0.0001, mean_absolute_error: 0.4947, 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: 1, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1, unweighted_recall: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.3918, kappa: 0, kb_relative_information_score: 0, mean_absolute_error: 0.4947, 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: 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: 0.0005, mean_absolute_error: 0.4946, 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: 0.9997, 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: 0.5264, 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: 0.5046, f_measure: 0.3919, kappa: 0.0002, kb_relative_information_score: 0.0888, mean_absolute_error: 0.4488, 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: 0.5996, f_measure: 0.4954, kappa: 0.0686, kb_relative_information_score: 0.042, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5706, number_of_instances: 14980, precision: 0.5747, predictive_accuracy: 0.5706, prior_entropy: 0.9924, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9855, unweighted_recall: 0.5319,
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: 0.5016, 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: 0.0097, mean_absolute_error: 0.4909, 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: 0.9923, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0028, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.3986, kappa: 0.0012, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5509, number_of_instances: 14980, precision: 0.5194, predictive_accuracy: 0.5509, prior_entropy: 0.9924, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9994, unweighted_recall: 0.5005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.1193, mean_absolute_error: 0.5512, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4488, number_of_instances: 14980, predictive_accuracy: 0.4488, prior_entropy: 0.9924, relative_absolute_error: 1.1141, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7424, root_relative_squared_error: 1.4927, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4639, 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: -0.0141, mean_absolute_error: 0.4993, 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: 1.0092, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.004, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.5172, kappa: 0.0325, kb_relative_information_score: 0.0144, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5364, number_of_instances: 14980, precision: 0.5231, predictive_accuracy: 0.5364, prior_entropy: 0.9924, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9939, unweighted_recall: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3935, kappa: 0.0015, kb_relative_information_score: 0.0898, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5517, number_of_instances: 14980, precision: 0.6281, predictive_accuracy: 0.5517, prior_entropy: 0.9924, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6695, root_relative_squared_error: 1.3461, unweighted_recall: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.2802, kappa: 0.0014, kb_relative_information_score: -0.1175, mean_absolute_error: 0.5503, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4497, number_of_instances: 14980, precision: 0.6879, predictive_accuracy: 0.4497, prior_entropy: 0.9924, relative_absolute_error: 1.1123, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7418, root_relative_squared_error: 1.4915, unweighted_recall: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 0.0012, mean_absolute_error: 0.4943, 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: 0.9991, 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: 0.6258, f_measure: 0.5881, kappa: 0.1681, kb_relative_information_score: 0.0323, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5976, number_of_instances: 14980, precision: 0.5928, predictive_accuracy: 0.5976, prior_entropy: 0.9924, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9807, unweighted_recall: 0.5822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -0.0964, mean_absolute_error: 0.5366, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4488, number_of_instances: 14980, predictive_accuracy: 0.4488, prior_entropy: 0.9924, relative_absolute_error: 1.0846, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6441, root_relative_squared_error: 1.295, 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: 0.52, f_measure: 0.4227, kappa: 0.018, kb_relative_information_score: 0.0476, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5563, number_of_instances: 14980, precision: 0.5701, predictive_accuracy: 0.5563, prior_entropy: 0.9924, relative_absolute_error: 0.9581, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5248, root_relative_squared_error: 1.0552, unweighted_recall: 0.5082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.3056, kappa: -0.0027, kb_relative_information_score: -0.0472, mean_absolute_error: 0.5122, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4505, number_of_instances: 14980, precision: 0.4916, predictive_accuracy: 0.4505, prior_entropy: 0.9924, relative_absolute_error: 1.0353, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5305, root_relative_squared_error: 1.0666, unweighted_recall: 0.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.5783, kappa: 0.1461, kb_relative_information_score: 0.0536, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5796, number_of_instances: 14980, precision: 0.5777, predictive_accuracy: 0.5796, prior_entropy: 0.9924, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9821, unweighted_recall: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.0108, mean_absolute_error: 0.4982, 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: 1.007, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0023, 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: 0.603, f_measure: 0.3918, kappa: 0, 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, precision: 0.5282, 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: 0.5943, f_measure: 0.4023, kappa: 0.0103, kb_relative_information_score: 0.0091, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5552, number_of_instances: 14980, precision: 0.6825, predictive_accuracy: 0.5552, prior_entropy: 0.9924, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9938, unweighted_recall: 0.5047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, 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: 0.4639, 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: 0.55, 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: 0.4947, 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: 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: 0.4947, 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: 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: 0.4947, 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: 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: 0.4947, 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: 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: 0.4947, 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: 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: 0.4947, 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: 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: 0.4947, 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: 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: 0.4947, 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: 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: 0.5296, f_measure: 0.5138, kappa: 0.0626, kb_relative_information_score: 0.1087, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5611, number_of_instances: 14980, precision: 0.5499, predictive_accuracy: 0.5611, prior_entropy: 0.9924, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6625, root_relative_squared_error: 1.332, unweighted_recall: 0.5296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, 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: 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, f_measure: 0.3622, kappa: 0.0001, kb_relative_information_score: -0.0984, mean_absolute_error: 0.5409, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4591, number_of_instances: 14980, precision: 0.5054, predictive_accuracy: 0.4591, prior_entropy: 0.9924, relative_absolute_error: 1.0933, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7355, root_relative_squared_error: 1.4787, unweighted_recall: 0.5,
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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,
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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: 0.5545, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.6356, kappa: 0.2615, kb_relative_information_score: 0.1878, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6387, number_of_instances: 14980, precision: 0.6362, predictive_accuracy: 0.6387, prior_entropy: 0.9924, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9849, unweighted_recall: 0.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 0.0073, mean_absolute_error: 0.4919, 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: 0.9942, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0016, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -0.1051, mean_absolute_error: 0.5419, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4488, number_of_instances: 14980, predictive_accuracy: 0.4488, prior_entropy: 0.9924, relative_absolute_error: 1.0953, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6778, root_relative_squared_error: 1.3627, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4749, 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: 0.607, f_measure: 0.5716, kappa: 0.1322, kb_relative_information_score: 0.1044, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5768, number_of_instances: 14980, precision: 0.572, predictive_accuracy: 0.5768, prior_entropy: 0.9924, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0457, unweighted_recall: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -0.1066, mean_absolute_error: 0.5429, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4488, number_of_instances: 14980, predictive_accuracy: 0.4488, prior_entropy: 0.9924, relative_absolute_error: 1.0972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6841, root_relative_squared_error: 1.3754, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0, mean_absolute_error: 0.4947, 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: 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: 0.5449, f_measure: 0.5505, kappa: 0.0902, kb_relative_information_score: 0.0889, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5513, number_of_instances: 14980, precision: 0.5499, predictive_accuracy: 0.5513, prior_entropy: 0.9924, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6698, root_relative_squared_error: 1.3467, unweighted_recall: 0.5449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4593, kappa: -0.0005, kb_relative_information_score: -0.0575, mean_absolute_error: 0.5208, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4792, number_of_instances: 14980, precision: 0.5049, predictive_accuracy: 0.4792, prior_entropy: 0.9924, relative_absolute_error: 1.0526, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7216, root_relative_squared_error: 1.4509, unweighted_recall: 0.4997,

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