teradataml’s Booster Wrapper object is returned by train(), which can be used to predict values on new data. The label argument for predict() is introduced by teradataml for the function to return label column in output DataFrame so that both true values and predicted values are in same teradataml DataFrame. The resultant DataFrame can be used to get some evaluation metrics like accuracy_score using OpensourceML’s scikit-learn metrics functions.