It seems that the default values for the random forest result in an estimate that is too flexible (not smooth). Re-run the random forest but this time with nodesize set at 50 and maxnodes set at 25....

It seems that the default values for the random forest result in an estimate that is too flexible (not smooth). Re-run the random forest but this time with nodesize set at 50 and maxnodes set at 25. Remake the plot.

Use the rpart function to fit a classification tree to the tissue_gene_expression dataset. Use the train function to estimate the accuracy. Try out cp values of seq(0, 0.05, 0.01). Plot the accuracy to report the results of the best model.