Methodological considerations for the kNN approach
REGRESSION
The kNN training process is structured as follows (see also Fig. General structure of training phaseThe prediction process comprises the following: applying rest magnitude thresholding (if enabled), executing normalization of sample (if enabled), calculating These steps are also pointed out in Fig. General structure of prediction phase (regression path not chosen)