Build a Random forest classifier for predicting the class label with $4$ trees. Fit the classifier

using the training set. Set criterion to entropy and random$\_$state to $62.$

b$.$ Draw the trees using sci$-$kit learn $($sklearn$)$ c$.$ Test the classifier on the testing data set, and print the confusion matrix and classification

metrics $($Accuracy$,$ sensitivity $($Recall$),$ Precision$)$ of the Random forest classifier. d$.$ Repeat A$-4($a$-$c$)$ using a Random forest with $8$ trees instead of $4.$