def METHOD_NAME(titanic_model, titanic_dataset):
    # By default, it does not use the statistical significance
    detector = PerformanceBiasDetector()
    issues = detector.run(titanic_model, titanic_dataset)
    assert len(issues) == 8
    # Setting alpha enables the Benjamini–Hochberg procedure
    detector = PerformanceBiasDetector(alpha=0.10)
    issues = detector.run(titanic_model, titanic_dataset)
    assert len(issues) == 3
    detector = PerformanceBiasDetector(alpha=1e-10)
    issues = detector.run(titanic_model, titanic_dataset)
    assert len(issues) == 2