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: 0.4996, f_measure: 0.3919, kappa: -0.0002, kb_relative_information_score: -0.0151, mean_absolute_error: 0.4997, 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: 1.0099, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0047, unweighted_recall: 0.4999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0036, mean_absolute_error: 0.4934, 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: 0.9972, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0004, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.4836, kappa: -0.0022, kb_relative_information_score: -0.0396, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4881, number_of_instances: 14980, precision: 0.5041, predictive_accuracy: 0.4881, prior_entropy: 0.9924, relative_absolute_error: 1.0347, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7155, root_relative_squared_error: 1.4386, unweighted_recall: 0.4989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.5836, kappa: 0.1802, kb_relative_information_score: 0.056, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6121, number_of_instances: 14980, precision: 0.6166, predictive_accuracy: 0.6121, prior_entropy: 0.9924, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9757, unweighted_recall: 0.5862,
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: 0.4999, kb_relative_information_score: 0.0639, mean_absolute_error: 0.4645, 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: 0.9389, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5785, root_relative_squared_error: 1.1631, 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: -0.0135, mean_absolute_error: 0.4991, 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: 1.0088, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4994, root_relative_squared_error: 1.0041, unweighted_recall: 0.5074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3938, kappa: 0.0001, kb_relative_information_score: 0, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4948, weighted_recall: 0.551, number_of_instances: 14980, precision: 0.511, predictive_accuracy: 0.551, 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: 0.5001,
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: 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: 0.5744, kappa: 0.1384, kb_relative_information_score: 0.0973, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5753, number_of_instances: 14980, precision: 0.5738, predictive_accuracy: 0.5753, prior_entropy: 0.9924, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.0459, unweighted_recall: 0.5689,
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: 0.6005, f_measure: 0.4997, kappa: 0.0714, kb_relative_information_score: 0.0275, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5712, number_of_instances: 14980, precision: 0.5741, predictive_accuracy: 0.5712, prior_entropy: 0.9924, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9843, unweighted_recall: 0.5333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.3205, kappa: 0.0093, kb_relative_information_score: -0.053, mean_absolute_error: 0.5148, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4578, number_of_instances: 14980, precision: 0.5431, predictive_accuracy: 0.4578, prior_entropy: 0.9924, relative_absolute_error: 1.0404, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1247, unweighted_recall: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: -0.1096, mean_absolute_error: 0.5447, 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: 1.101, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6969, root_relative_squared_error: 1.4011, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.5521, kappa: 0.1272, kb_relative_information_score: 0.0484, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5893, number_of_instances: 14980, precision: 0.5895, predictive_accuracy: 0.5893, prior_entropy: 0.9924, relative_absolute_error: 0.9596, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9785, unweighted_recall: 0.5605,
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: 0.5698, f_measure: 0.5216, kappa: 0.0991, kb_relative_information_score: -0.0094, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4948, weighted_recall: 0.582, number_of_instances: 14980, precision: 0.5896, predictive_accuracy: 0.582, prior_entropy: 0.9924, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.001, unweighted_recall: 0.5465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, 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,
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: 0.5271, f_measure: 0.5101, kappa: 0.0524, kb_relative_information_score: 0.0155, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5152, number_of_instances: 14980, precision: 0.5342, predictive_accuracy: 0.5152, prior_entropy: 0.9924, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6963, root_relative_squared_error: 1.4, unweighted_recall: 0.5271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0876, mean_absolute_error: 0.4495, 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: 0.9086, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6652, root_relative_squared_error: 1.3374, 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: 0.5336, f_measure: 0.4311, kappa: 0.0118, kb_relative_information_score: 0.006, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5515, number_of_instances: 14980, precision: 0.5313, predictive_accuracy: 0.5515, prior_entropy: 0.9924, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4962, root_relative_squared_error: 0.9976, unweighted_recall: 0.5054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.4972, kappa: 0.0693, kb_relative_information_score: 0.0156, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5706, number_of_instances: 14980, precision: 0.5736, predictive_accuracy: 0.5706, prior_entropy: 0.9924, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9937, unweighted_recall: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0255, mean_absolute_error: 0.4842, 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: 0.9787, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0212, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0018, 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: 0.9986, 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: 0.5225, 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: 0.6725, f_measure: 0.6326, kappa: 0.2583, kb_relative_information_score: 0.0993, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6415, number_of_instances: 14980, precision: 0.6402, predictive_accuracy: 0.6415, prior_entropy: 0.9924, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9553, unweighted_recall: 0.6262,
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: 0.0887, 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: 0.5001, f_measure: 0.2782, kappa: 0.0001, kb_relative_information_score: -0.1191, mean_absolute_error: 0.5511, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4489, number_of_instances: 14980, precision: 0.7526, predictive_accuracy: 0.4489, prior_entropy: 0.9924, relative_absolute_error: 1.1139, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7424, root_relative_squared_error: 1.4926, unweighted_recall: 0.5001,
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: 0.5543, f_measure: 0.4421, kappa: 0.023, kb_relative_information_score: 0.0089, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5558, number_of_instances: 14980, precision: 0.5493, predictive_accuracy: 0.5558, prior_entropy: 0.9924, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9958, unweighted_recall: 0.5106,
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, f_measure: 0.486, kappa: -0.0001, kb_relative_information_score: -0.0362, mean_absolute_error: 0.5103, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4897, number_of_instances: 14980, precision: 0.5052, predictive_accuracy: 0.4897, prior_entropy: 0.9924, relative_absolute_error: 1.0314, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7143, root_relative_squared_error: 1.4362, 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: 0.5417, kb_relative_information_score: 0.0006, mean_absolute_error: 0.4945, 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: 0.9995, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9995, 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: -0.0135, mean_absolute_error: 0.4991, 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: 1.0088, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0037, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.0135, mean_absolute_error: 0.4991, 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: 1.0088, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0037, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.0135, mean_absolute_error: 0.4991, 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: 1.0088, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0037, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.0135, mean_absolute_error: 0.4991, 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: 1.0088, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0037, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.0135, mean_absolute_error: 0.4991, 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: 1.0088, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0037, unweighted_recall: 0.5,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, f_measure: 0.4659, kappa: -0.0319, kb_relative_information_score: 0.0179, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5164, number_of_instances: 14980, precision: 0.4828, predictive_accuracy: 0.5164, prior_entropy: 0.9924, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6954, root_relative_squared_error: 1.3982, unweighted_recall: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, f_measure: 0.4659, kappa: -0.0319, kb_relative_information_score: 0.0179, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5164, number_of_instances: 14980, precision: 0.4828, predictive_accuracy: 0.5164, prior_entropy: 0.9924, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6954, root_relative_squared_error: 1.3982, unweighted_recall: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, f_measure: 0.4659, kappa: -0.0319, kb_relative_information_score: 0.0179, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5164, number_of_instances: 14980, precision: 0.4828, predictive_accuracy: 0.5164, prior_entropy: 0.9924, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6954, root_relative_squared_error: 1.3982, unweighted_recall: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4849, f_measure: 0.4659, kappa: -0.0319, kb_relative_information_score: 0.0179, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5164, number_of_instances: 14980, precision: 0.4828, predictive_accuracy: 0.5164, prior_entropy: 0.9924, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6954, root_relative_squared_error: 1.3982, unweighted_recall: 0.4849,
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: 0.0087, mean_absolute_error: 0.4913, 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: 0.9931, 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: 0.6165, f_measure: 0.5655, kappa: 0.1387, kb_relative_information_score: 0.0568, mean_absolute_error: 0.4709, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5908, number_of_instances: 14980, precision: 0.5872, predictive_accuracy: 0.5908, prior_entropy: 0.9924, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9744, unweighted_recall: 0.5666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, kb_relative_information_score: 0.0185, mean_absolute_error: 0.4879, 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: 0.4911, root_relative_squared_error: 0.9875, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.56, kappa: 0.1297, kb_relative_information_score: 0.0493, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5871, number_of_instances: 14980, precision: 0.5831, predictive_accuracy: 0.5871, prior_entropy: 0.9924, relative_absolute_error: 0.9594, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9729, unweighted_recall: 0.5622,

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

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From your own software

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

OpenML APIs