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Young Lee 2 years ago
ran flow sklearn.linear_model._logistic.LogisticRegression(6) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6286, kappa: 0.2496, kb_relative_information_score: 0.1063, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6366, number_of_instances: 14980, precision: 0.6346, predictive_accuracy: 0.6366, prior_entropy: 0.9924, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9542, unweighted_recall: 0.6221,
Young Lee 2 years ago
ran flow sklearn.linear_model._logistic.LogisticRegression(6) on task Supervised Classification on data set eeg-eye-state
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.6286, kappa: 0.2496, kb_relative_information_score: 0.1063, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4948, weighted_recall: 0.6366, number_of_instances: 14980, precision: 0.6346, predictive_accuracy: 0.6366, prior_entropy: 0.9924, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9542, unweighted_recall: 0.6221,