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Subkey                      Description                                                                                                                                                                                                                                                                      
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Variance                    Percentage of times features which have a variance < 0.01 are excluded. Based on ` sklearn"s VarianceThreshold <https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.VarianceThreshold.html/>`_.                                                          
GroupwiseSearch             Randomly select which feature groups to use. Parameters determined by the SelectFeatGroup config part, see below.                                                                                                                                                                
SelectFromModel             Percentage of times features are selected by first training a machine learning model which can rank the features with an ``importance. See also `sklearn"s SelectFromModel <https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html/>`_.
SelectFromModel_estimator   Machine learning model / estimator used: can be LASSO, LogisticRegression, or a Random Forest                                                                                                                                                                                    
SelectFromModel_lasso_alpha When using LASSO, search space of weigth of L1 term, see also `sklearn <https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html/>`.                                                                                                                    
SelectFromModel_n_trees     When using a random forest, search space of number of trees used.                                                                                                                                                                                                                
UsePCA                      Percentage of times Principle Component Analysis (PCA) is used to select features.                                                                                                                                                                                               
PCAType                     Method to select number of components using PCA: Either the number of components that explains 95% of the variance, or use a fixed number of components.95variance                                                                                                               
StatisticalTestUse          Percentage of times a statistical test is used to select features.                                                                                                                                                                                                               
StatisticalTestMetric       Define the type of statistical test to be used.                                                                                                                                                                                                                                  
StatisticalTestThreshold    Specify a threshold for the p-value threshold used in the statistical test to select features. The first element defines the lower boundary, the other the upper boundary. Random sampling will occur between the boundaries.                                                    
ReliefUse                   Percentage of times Relief is used to select features.                                                                                                                                                                                                                           
ReliefNN                    Min and max of number of nearest neighbors search range in Relief.                                                                                                                                                                                                               
ReliefSampleSize            Min and max of sample size search range in Relief.                                                                                                                                                                                                                               
ReliefDistanceP             Min and max of positive distance search range in Relief.                                                                                                                                                                                                                         
ReliefNumFeatures           Min and max of number of features that is selected search range in Relief.                                                                                                                                                                                                       
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