OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 96767 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: 0.0023, mean_absolute_error: 0.4939, 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: 0.9982, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0023, mean_absolute_error: 0.4939, 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: 0.9982, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0023, mean_absolute_error: 0.4939, 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: 0.9982, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0023, mean_absolute_error: 0.4939, 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: 0.9982, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0023, mean_absolute_error: 0.4939, 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: 0.9982, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0023, mean_absolute_error: 0.4939, 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: 0.9982, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0023, mean_absolute_error: 0.4939, 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: 0.9982, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0023, mean_absolute_error: 0.4939, 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: 0.9982, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0002, 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: 0.5, 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: 0.5, 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: 0.5, 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: 0.5, 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: 0.5, 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: 0.5, 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: 0.5, 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: 0.5, 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: 0.5002, kb_relative_information_score: -0.1067, 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: 1.0974, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6847, root_relative_squared_error: 1.3766, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.0002, 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: 0.4997, 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: 0.4749, 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: 0.4997, 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: 0.4997, 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: 0.5767, kb_relative_information_score: 0.0009, 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: 0.9994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9994, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, kb_relative_information_score: 0.0009, 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: 0.9994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9994, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, kb_relative_information_score: 0.0009, 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: 0.9994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9994, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, kb_relative_information_score: 0.0009, 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: 0.9994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9994, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, kb_relative_information_score: 0.0009, 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: 0.9994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9994, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, kb_relative_information_score: 0.0009, 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: 0.9994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9994, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, kb_relative_information_score: 0.0009, 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: 0.9994, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9994, 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: 0.4997, kb_relative_information_score: -0.0153, mean_absolute_error: 0.4997, 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: 1.0101, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0048, 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: 0.4932, 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: 0.08, mean_absolute_error: 0.4546, 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: 0.9188, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6335, root_relative_squared_error: 1.2736, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, kb_relative_information_score: 0.0118, mean_absolute_error: 0.4907, 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: 0.9917, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9918, 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: 0.5536, f_measure: 0.5217, kappa: 0.1168, kb_relative_information_score: 0.0886, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5928, number_of_instances: 14980, precision: 0.6231, predictive_accuracy: 0.5928, prior_entropy: 0.9924, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.0262, unweighted_recall: 0.5544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.5089, kappa: 0.0763, kb_relative_information_score: 0.0304, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5716, number_of_instances: 14980, precision: 0.5708, predictive_accuracy: 0.5716, prior_entropy: 0.9924, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9829, unweighted_recall: 0.5358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4915, kappa: -0.0149, kb_relative_information_score: 0.0159, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5154, number_of_instances: 14980, precision: 0.4968, predictive_accuracy: 0.5154, prior_entropy: 0.9924, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6962, root_relative_squared_error: 1.3997, unweighted_recall: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4915, kappa: -0.0149, kb_relative_information_score: 0.0159, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5154, number_of_instances: 14980, precision: 0.4968, predictive_accuracy: 0.5154, prior_entropy: 0.9924, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6962, root_relative_squared_error: 1.3997, unweighted_recall: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4915, kappa: -0.0149, kb_relative_information_score: 0.0159, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5154, number_of_instances: 14980, precision: 0.4968, predictive_accuracy: 0.5154, prior_entropy: 0.9924, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6962, root_relative_squared_error: 1.3997, unweighted_recall: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.4915, kappa: -0.0149, kb_relative_information_score: 0.0159, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5154, number_of_instances: 14980, precision: 0.4968, predictive_accuracy: 0.5154, prior_entropy: 0.9924, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6962, root_relative_squared_error: 1.3997, unweighted_recall: 0.4928,
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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: 0.4997, 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: 0.4997, 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: 0.4997, 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: 0.4997, 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: 0.4997, kb_relative_information_score: 0.0813, mean_absolute_error: 0.4538, 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: 0.9171, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6385, root_relative_squared_error: 1.2837, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6397, kappa: 0.2741, kb_relative_information_score: 0.2519, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4948, weighted_recall: 0.639, number_of_instances: 14980, precision: 0.6412, predictive_accuracy: 0.639, prior_entropy: 0.9924, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5435, root_relative_squared_error: 1.0928, unweighted_recall: 0.6377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.428, kappa: -0.0055, kb_relative_information_score: -0.0168, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4689, number_of_instances: 14980, precision: 0.5008, predictive_accuracy: 0.4689, prior_entropy: 0.9924, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.006, unweighted_recall: 0.4971,

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