code: def test_prediction_error_lines_one(regression_data):
      y_true, y_pred = regression_data
      plot.prediction_error(y_true, y_pred)
  
file_path: sklearn-evaluation/tests/test_regression.py
imports: import pytest
  import numpy
  import pandas
  from sklearn.datasets import make_regression
  import matplotlib.pyplot
  from matplotlib.testing.decorators import image_comparison
  from sklearn_evaluation import plot
label_desc: Use image node_id 3 for calling a global function with example usage: test_prediction_error_lines_one(regression_data) without return types