I've recently had a research manuscript rejected by an editor. The
manuscript showed
that for a real life data set, random forest outperformed multiple linear
regression
with respect to predicting the target variable. The editor's objection was
that
random forest is a black box where the random assignment of features to
trees was
intractable. I need to find an alternative method to random forest that
does not
suffer from the black box label. Any suggestions? Would caret::treebag be
free of
random assignment of features? Your assistance is appreciated.
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