Random forest for important predictor variables : <p>In my data set I've 19 predictor variables which include both categorical and continuous variables. I want to fit a random forest model using only <strong>important predictor variables</strong> (not all the predictor variables) and also I've to repeat the process 100 times.How can I do this by using R? Any suggestions please?</p>
