I am doing regression task - do I need to normalize (or scale) data for randomForest (R package)? And is it neccessary to scale also target values?
And if - I want to use sc
Random Forest uses information gain / gini coefficient inherently which will not be affected by scaling unlike many other machine learning models which will (such as k-means clustering, PCA etc). However, it might 'arguably' fasten the convergence as hinted in other answers