import sklearn.ensemble as ske

#RANDOM FORESTS
rfmodel = ske.RandomForestClassifier(n_estimators = 200,
                                     bootstrap = True,
                                     verbose = True)

#Run model to assess accuracy
rf_modelfit = rfmodel.fit(train_x, train_y)
accuracy = rf_modelfit.score(test_x, test_y)