Hi Team!
It seems like if you want to use random forest like model with number of parallel trees fitted (up to all trees fitted simultaniously ones) you need to somehow modify num_trees during predict stage, otherwise you would get incorrect predictions
Ive seen something like best_ntreelimit = model$bestInd * num_parallel_tree
Why it can’t be used without any modifications?