Fig. 1: Graphical representation of the five-fold CV design.
From: Machine learning classification of ADHD and HC by multimodal serotonergic data
CV was performed with standard settings for variables randomly selected for splitting at each node (mtr\y = square root of the number of predictors) and variable selection based on imputation testing as provided by “Boruta” and backwards feature elimination as provided by “VarSelRF”. The top perfroming predictors of each training set were used for classification of the respective test set. The whole CV procedure was repeated ten times and results were averaged. CV cross-validation.
