docstr: Method to evaluate recommender results. This method should be called by item recommender algorithms
  
  :param predictions: List with recommender output. e.g. [[user, item, score], [user, item2, score] ...]
  :type predictions: list
  
  :param test_set: Dictionary with test set information.
  :type test_set: dict
  
  :return: Dictionary with all evaluation metrics and results
  :rtype: dict
code: def evaluate_recommender(self, predictions, test_set):
      """
      Method to evaluate recommender results. This method should be called by item recommender algorithms
  
      :param predictions: List with recommender output. e.g. [[user, item, score], [user, item2, score] ...]
      :type predictions: list
  
      :param test_set: Dictionary with test set information.
      :type test_set: dict
  
      :return: Dictionary with all evaluation metrics and results
      :rtype: dict
  
      """
  
      predictions_dict = {}
  
      for sample in predictions:
          predictions_dict.setdefault(sample[0], {}).update(
              {sample[1]: sample[2]}
          )
  
      return self.evaluate(predictions_dict, test_set)
  
file_path: CaseRecommender/caserec/evaluation/base_evaluation.py
imports: from collections import defaultdict
  from caserec.utils.process_data import ReadFile
label_desc: Use image node_id 4 for calling the BaseEvaluation obj's underlying member method code with example usage: obj.evaluate_recommender(predictions, test_set) and returns: self