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Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... GradientBoostingClassifier)(2) on task Supervised Classification on data set churn
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, f_measure: 0.7867, kappa: 0.2168, kb_relative_information_score: -0.2043, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.2429, weighted_recall: 0.7676, number_of_instances: 5000, precision: 0.8135, predictive_accuracy: 0.7676, prior_entropy: 0.5879, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.3739, unweighted_recall: 0.6325,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... GradientBoostingClassifier)(2) on task Supervised Classification on data set climate-model-simulation-crashes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.804, kappa: 0.0577, kb_relative_information_score: -1.0476, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.1571, weighted_recall: 0.7648, number_of_instances: 540, precision: 0.8554, predictive_accuracy: 0.7648, prior_entropy: 0.4202, relative_absolute_error: 1.4968, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.485, root_relative_squared_error: 1.7372, unweighted_recall: 0.5462,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... GradientBoostingClassifier)(2) on task Supervised Classification on data set wilt
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6251, f_measure: 0.7578, kappa: 0.0711, kb_relative_information_score: -3.7218, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.1022, weighted_recall: 0.6665, number_of_instances: 4839, precision: 0.9183, predictive_accuracy: 0.6665, prior_entropy: 0.3029, relative_absolute_error: 3.263, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.5775, root_relative_squared_error: 2.5567, unweighted_recall: 0.625,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... GradientBoostingClassifier)(2) on task Supervised Classification on data set kc2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.5966, kappa: 0.0029, kb_relative_information_score: -0.585, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.3266, weighted_recall: 0.5556, number_of_instances: 522, precision: 0.6753, predictive_accuracy: 0.5556, prior_entropy: 0.7318, relative_absolute_error: 1.3594, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.666, root_relative_squared_error: 1.6499, unweighted_recall: 0.502,
Sergey Redyuk 3 years ago
ran flow sklearn.pipeline.Pipeline(pca= ... GradientBoostingClassifier)(2) on task Supervised Classification on data set blood-transfusion-service-center
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5296, f_measure: 0.62, kappa: 0.0548, kb_relative_information_score: -0.2572, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.363, weighted_recall: 0.5963, number_of_instances: 748, precision: 0.659, predictive_accuracy: 0.5963, prior_entropy: 0.7916, relative_absolute_error: 1.1151, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.6345, root_relative_squared_error: 1.4901, unweighted_recall: 0.5322,