print("class assignment after",num_iter,"iterations:"eml learn(num_iter)eml show_class( plot the error em =em_learner(data, )em plot_error( classes em =em_learner(data, )em plot_error( classes em =em_learner(data, )em plot_error( classes data data_from_file('data/carbool csv'target_index= ,boolean_features=false[ frange for in data input_featureseml em_learner(data, eml learn( )eml show_class( em =em_learner(data, )em plot_error( classes em =em_learner(data, )em plot_error( classes exercise for the em datawhere there are naturally classes classes does better on the training set after while than classesbut worse on the test set explain why hintlook what the classes are use "em show class( )for each of the classes [ exercise write code to plot the logloss as function of the number of classes (from to say for fixed number of iterations (from the experience with the existing codethink about how many iterations is appropriate version june