docstr: Evaluate ranking in a set of folds. The name of folds needs to be integer and start with 0. e.g.
  Exist a dir '/home/user/folds', in which contains folds 0, 1, ..., 10.
  
  :param folds_dir: Directory of folds
  :type folds_dir: str
  
  :param k_folds: Number of folds
  :type k_folds: int, default 10
  
  :param predictions_file_name: Name of the ranking file
  :type predictions_file_name: str
  
  :param test_file_name: Name of the test file
  :type test_file_name: str
  
  :return: Dictionary with all evaluation metrics and results
  :rtype: dict
code: def evaluate_folds(
      self, folds_dir, predictions_file_name, test_file_name, k_folds=10
  ):
      """
      Evaluate ranking in a set of folds. The name of folds needs to be integer and start with 0. e.g.
      Exist a dir '/home/user/folds', in which contains folds 0, 1, ..., 10.
  
      :param folds_dir: Directory of folds
      :type folds_dir: str
  
      :param k_folds: Number of folds
      :type k_folds: int, default 10
  
      :param predictions_file_name: Name of the ranking file
      :type predictions_file_name: str
  
      :param test_file_name: Name of the test file
      :type test_file_name: str
  
      :return: Dictionary with all evaluation metrics and results
      :rtype: dict
  
      """
  
      folds_results = defaultdict()
  
      for fold in range(k_folds):
          predictions_file = (
              folds_dir + str(fold) + "/" + predictions_file_name
          )
          test_file = folds_dir + str(fold) + "/" + test_file_name
  
          for key, value in self.evaluate_with_files(
              predictions_file, test_file
          ).items():
              folds_results[key] = folds_results.get(key, 0) + value
  
      folds_results = {
          k: round(v / k_folds, 6) for k, v in folds_results.items()
      }
  
      if self.verbose:
          self.print_results(folds_results)
  
      return folds_results
  
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 5 for calling the BaseEvaluation obj's underlying member method code with example usage: obj.evaluate_folds(folds_dir, predictions_file_name, test_file_name, k_folds) and returns: folds_results