code: def configure_splitevaluator(self):
          
          if self.classification:
              speval = javabridge.make_instance("weka/experiment/ClassifierSplitEvaluator", "()V")
          else:
              speval = javabridge.make_instance("weka/experiment/RegressionSplitEvaluator", "()V")
          classifier = javabridge.call(speval, "getClassifier", "()Lweka/classifiers/Classifier;")
          return speval, classifier
docs: Configures and returns the SplitEvaluator and Classifier instance as tuple.
  
          :return: evaluator and classifier
          :rtype: tuple