Bagging (weka. classifiers. meta. bagging). you will use decision tree (weka. classifiers. trees. j48) as the base supervised learner. try trees of different depth (1, 2, 3, 5, 10) and different sizes of bag or ensemble, i. e., number of trees (10, 20, 40, 60, 80, 100). compute the training accuracy and testing accuracy for different combinations of tree depth and number of trees; and plot them. list your observations.