[10 points] In this problem we will see a toy example of how to use AdaBoost. Please read the documentation on AdaBoostClassifier in sklearn, including how to set the base weak learner (i.e. the base estimator). We will use the Wisconsin breast cancer data set again. For each depth in 1, . . . , 5, instantiate an AdaBoost classifier with the base learner set to be a decision tree of that depth, and then record the 10-fold cross-validated error on the entire breast cancer data set. Plot the resulting curve of accuracy against base classifier depth