Hyper-Ensemble Smote Undersampled Random Forests


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Documentation for package ‘hyperSMURF’ version 1.0

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hyperSMURF-package Hyper-Ensemble Smote Undersampled Random Forests
do.random.partition Random partition of the data
do.stratified.cv.data Construction of random folds for cross-validation
do.stratified.cv.data.from.folds Construction of folds for cross-validation from predefined folds
hyperSMURF Hyper-Ensemble Smote Undersampled Random Forests
hyperSMURF.corr.cv.parallel hyperSMURF cross-validation with embedded correlation-based feature selection
hyperSMURF.cv hyperSMURF cross-validation
hyperSMURF.cv.parallel hyperSMURF cross-validation - parallel implementation
hyperSMURF.test Test of a hyperSMURF model
hyperSMURF.test.parallel Test of a hyperSMURF model - parallel version
hyperSMURF.test.thresh Test of a thresholded hyperSMURF model
hyperSMURF.train hyperSMURF training
hyperSMURF.train.parallel hyperSMURF training - parallel version
imbalanced.data.generator Synthetic imbalanced data generator
smote SMOTE oversampling
smote_and_undersample SMOTE oversampling and undersampling