code: def test_score_drift_estimator():
      """Test score method of DriftEstimator class."""
      df_train = pd.read_csv("data_for_tests/clean_train.csv")
      df_test = pd.read_csv("data_for_tests/clean_test.csv")
      drift_estimator = DriftEstimator()
      with pytest.raises(ValueError):
          drift_estimator.score()
      drift_estimator.fit(df_train, df_test)
      assert drift_estimator.score() > 0
  
file_path: MLBox/tests/test_drift_estimator.py
imports: import pytest
  import pandas
  from mlbox.preprocessing.drift.drift_estimator import DriftEstimator
label_desc: Use image node_id 5 for calling a global function with example usage: test_score_drift_estimator() without return types