# compute the misclassification error # compute the classification accuracy } # return the classification accuracy } \\\\.\\. Run the function with 100 replicates, 590 trees per fit and 4 variables. (1 points} Compute the mean accuracy and plot the histogram. Is the prediction performance of random forest highly variable? {2 points) \"'{r} xxx 8. Once again, define a traintest split ['mytrain' and 'mytest'} of 'mytitanic' of size ntrain=nrecf2, as recommended in the hints. Take 332 for random seed. \"'{r} xxx Run 59 independent fits of the random forest model, all using the SAME dataset mytrain. Accumulate the accuracy of each fit in an array of size 50. Plot the histogram of this array. Do the different fits produce similar accuracies? {4 points} \"'{r} \\\\.\\