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, kb_relative_information_score: -0.0001, 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: 0.4975, root_relative_squared_error: 1.0002, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4596, kappa: -0.0001, kb_relative_information_score: -0.0569, mean_absolute_error: 0.5205, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4795, number_of_instances: 14980, precision: 0.5052, predictive_accuracy: 0.4795, prior_entropy: 0.9924, relative_absolute_error: 1.052, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.7215, root_relative_squared_error: 1.4505, 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: 0.671, f_measure: 0.6026, kappa: 0.2253, kb_relative_information_score: 0.1099, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6354, number_of_instances: 14980, precision: 0.6542, predictive_accuracy: 0.6354, prior_entropy: 0.9924, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9595, unweighted_recall: 0.6072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.6022, kappa: 0.2253, kb_relative_information_score: 0.11, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6356, number_of_instances: 14980, precision: 0.655, predictive_accuracy: 0.6356, prior_entropy: 0.9924, relative_absolute_error: 0.9065, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9598, unweighted_recall: 0.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.6022, kappa: 0.2253, kb_relative_information_score: 0.11, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6356, number_of_instances: 14980, precision: 0.655, predictive_accuracy: 0.6356, prior_entropy: 0.9924, relative_absolute_error: 0.9065, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9598, unweighted_recall: 0.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6095, f_measure: 0.5835, kappa: 0.1791, kb_relative_information_score: 0.0916, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6113, number_of_instances: 14980, precision: 0.6151, predictive_accuracy: 0.6113, prior_entropy: 0.9924, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.5181, root_relative_squared_error: 1.0417, unweighted_recall: 0.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.6033, kappa: 0.2267, kb_relative_information_score: 0.11, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4948, weighted_recall: 0.636, number_of_instances: 14980, precision: 0.6549, predictive_accuracy: 0.636, prior_entropy: 0.9924, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9598, unweighted_recall: 0.6078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.6022, kappa: 0.2253, kb_relative_information_score: 0.11, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6356, number_of_instances: 14980, precision: 0.655, predictive_accuracy: 0.6356, prior_entropy: 0.9924, relative_absolute_error: 0.9065, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9598, unweighted_recall: 0.6071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.5367, kappa: 0.145, kb_relative_information_score: 0.1094, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6059, number_of_instances: 14980, precision: 0.6524, predictive_accuracy: 0.6059, prior_entropy: 0.9924, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9727, unweighted_recall: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.66, f_measure: 0.5917, kappa: 0.2044, kb_relative_information_score: 0.1053, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6256, number_of_instances: 14980, precision: 0.6406, predictive_accuracy: 0.6256, prior_entropy: 0.9924, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.478, root_relative_squared_error: 0.961, unweighted_recall: 0.5972,
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: 0.8895, f_measure: 0.8135, kappa: 0.6224, kb_relative_information_score: 0.5028, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4948, weighted_recall: 0.8138, number_of_instances: 14980, precision: 0.8135, predictive_accuracy: 0.8138, prior_entropy: 0.9924, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7312, unweighted_recall: 0.8102,
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: 0.9998, 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: 0.0039, mean_absolute_error: 0.4933, 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: 0.997, 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: 0.4997, 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: 0.6263, f_measure: 0.5053, kappa: 0.1086, kb_relative_information_score: 0.0299, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5919, number_of_instances: 14980, precision: 0.6464, predictive_accuracy: 0.5919, prior_entropy: 0.9924, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4881, root_relative_squared_error: 0.9814, unweighted_recall: 0.5502,
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: -0.015, mean_absolute_error: 0.4996, 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: 1.0099, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0046, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, 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: 0.4997, 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: 0.5, 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: 0.4997, 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,
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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,
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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,
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4509, kappa: 0.0003, kb_relative_information_score: 0.0679, mean_absolute_error: 0.459, mean_prior_absolute_error: 0.4948, weighted_recall: 0.541, number_of_instances: 14980, precision: 0.5056, predictive_accuracy: 0.541, prior_entropy: 0.9924, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6775, root_relative_squared_error: 1.3622, unweighted_recall: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.4941, kappa: 0.1131, kb_relative_information_score: 0.181, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5967, number_of_instances: 14980, precision: 0.7183, predictive_accuracy: 0.5967, prior_entropy: 0.9924, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6351, root_relative_squared_error: 1.2769, unweighted_recall: 0.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4762, f_measure: 0.4817, kappa: -0.0476, kb_relative_information_score: -0.0526, mean_absolute_error: 0.5184, mean_prior_absolute_error: 0.4948, weighted_recall: 0.4816, number_of_instances: 14980, precision: 0.4817, predictive_accuracy: 0.4816, prior_entropy: 0.9924, relative_absolute_error: 1.0477, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.72, root_relative_squared_error: 1.4476, unweighted_recall: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.7725, kappa: 0.5394, kb_relative_information_score: 0.2704, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4948, weighted_recall: 0.7759, number_of_instances: 14980, precision: 0.7796, predictive_accuracy: 0.7759, prior_entropy: 0.9924, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8251, unweighted_recall: 0.7652,
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, f_measure: 0.4502, kappa: -0.0001, kb_relative_information_score: 0.0678, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5409, number_of_instances: 14980, precision: 0.5051, predictive_accuracy: 0.5409, prior_entropy: 0.9924, relative_absolute_error: 0.9279, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.6776, root_relative_squared_error: 1.3623, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.5238, kappa: 0.0975, kb_relative_information_score: 0.0056, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4948, weighted_recall: 0.5803, number_of_instances: 14980, precision: 0.5842, predictive_accuracy: 0.5803, prior_entropy: 0.9924, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9964, unweighted_recall: 0.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, 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,

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