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Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.971, kappa: 0.9678, kb_relative_information_score: 0.9704, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9712, predictive_accuracy: 0.971, prior_entropy: 3.3219, recall: 0.971, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0681, root_relative_squared_error: 0.227,
Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9572, kappa: 0.9054, kb_relative_information_score: 0.8986, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9573, predictive_accuracy: 0.9571, prior_entropy: 0.9293, recall: 0.9571, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4162,
Nicolas Hug 5 years ago
ran flow sklearn.model_selection._searc ... GradientBoostingClassifier)(3) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.963, kappa: 0.9589, kb_relative_information_score: 0.9614, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9633, predictive_accuracy: 0.963, prior_entropy: 3.3219, recall: 0.963, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.2546,