new_contents: from sklearn import metrics
  
  
  class ClusterEvaluation(object):
      @staticmethod
      def get_evaluated(evaluated_file):
          with open(evaluated_file, 'r') as ef:
              evaluations = ef.readlines()
  
          evaluation_labels = [evaluation.split(';')[0] for evaluation in evaluations]
          return evaluation_labels
  
      @staticmethod
      def get_adjusted_rand_score(standard_file, prediction_file):
          standard_labels = ClusterEvaluation.get_evaluated(standard_file)
          prediction_labels = ClusterEvaluation.get_evaluated(prediction_file)
  
          return metrics.adjusted_rand_score(standard_labels, prediction_labels)
subject: Add cluster evaluation: adjusted rand index