For the first plot, use a ensemble.RandomForestClassifier and the best

depth you found $2($b$)$ii as max depth. We will now find the optimal setting of a second parameter, n estimators. Vary the number of trees in the forest via the parameter n estimators and plot its $10-$fold cross$-$validated accuracy $($use n estimators $=$

$1,2,...,20).$ Again, use $10$ as your random seed for your classifier and cross$-$validation.