def evaluate(self, name, pprint):
"""
Evaluate model using predicted tracks and actually listened tracks.
:param name: string, name of the experiment (if None, class name will be printed instead)
:param pprint: bool, if True -> scores will be pretty printed
:return: score of the model as a tuple (precision, recall, f-score)
"""
if name is None:
name = self.type
evaluation = Evaluator()
score = evaluation.score(self.predicted_tracks,
self.to_user_track_map(self.get_unique_user_tracks(self.testing_data).values))
if pprint:
evaluation.pprint_scores(score, name)
return score
