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ml_config.xml
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<config-root>
<n_folds>5</n_folds>
<random_state>42</random_state>
<n_US_folds>
<pft>6</pft>
</n_US_folds>
<estimator_ids>
<svm>SVM</svm>
<rf>RF</rf>
<nb>GNB</nb>
<mlp>MLP</mlp>
</estimator_ids>
<optimal_estimator>MLP</optimal_estimator>
<optimal_dataset>us</optimal_dataset>
<optimal_hyperparameters>
<no-us>
<svm>
<kernel>rbf</kernel>
<C>5</C>
<gamma>0.0001</gamma>
<thresholds>
<threshold>0.1</threshold>
</thresholds>
</svm>
<rf>
<n_estimators>30</n_estimators>
<max_depth>8</max_depth>
<max_features>0.7</max_features>
</rf>
<nb>
<smoothing>0</smoothing>
</nb>
<mlp>
<activation>relu</activation>
<hidden_layer_sizes>100,30</hidden_layer_sizes>
<learning_rate>0.001</learning_rate>
</mlp>
</no-us>
<us>
<svm>
<kernel>rbf</kernel>
<C>5</C>
<gamma>0.0001</gamma>
<thresholds>
<threshold>0.1</threshold>
<threshold>0.2</threshold>
<threshold>0.3</threshold>
<threshold>-0.1</threshold>
<threshold>0.2</threshold>
<threshold>0.1</threshold>
</thresholds>
</svm>
<rf>
<n_estimators>20</n_estimators>
<max_depth>4</max_depth>
<max_features>0.4</max_features>
</rf>
<nb>
<smoothing>0</smoothing>
</nb>
<mlp>
<activation>relu</activation>
<hidden_layer_sizes>100,100</hidden_layer_sizes>
<learning_rate>0.001</learning_rate>
</mlp>
</us>
</optimal_hyperparameters>
</config-root>