#tuning the hyperparameters
for n_trees in np.arange(10,160,20):
  rfc = RandomForestClassifier(n_estimators = n_trees)
  rfc_cv_scores = cross_val_score(rfc, x_train, y_train, cv=8)
  print("CV with {} trees:".format(n_trees))
  print(rfc_cv_scores)