code: def test_metric_improvement(self):
      params = {"name": "logloss"}
      m = Metric(params)
      y_true = np.array([0, 0, 1, 1])
      y_predicted = np.array([0, 0, 0, 1])
      score_1 = m(y_true, y_predicted)
      y_true = np.array([0, 0, 1, 1])
      y_predicted = np.array([0, 0, 1, 1])
      score_2 = m(y_true, y_predicted)
      self.assertTrue(m.improvement(score_1, score_2))
  
file_path: mljar-supervised/tests/tests_utils/test_metric.py
imports: import unittest
  import numpy
  import pandas
  from numpy.testing import assert_almost_equal
  from supervised.utils.metric import Metric
  from supervised.utils.metric import UserDefinedEvalMetric
label_desc: Use image node_id 2 for calling the MetricTest obj's underlying member method code with example usage: obj.test_metric_improvement() without return types