code: def test_prediction_error_lines_two():
      y_true = np.array([150, 500, 750, 35, 1200])
      y_pred = np.array([155, 495, 703, 41, 950])
      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 4 for calling a global function with example usage: test_prediction_error_lines_two() without return types