def METHOD_NAME(self):
    """Simple example using car data."""
    # Car data from example 'Naive Bayes Classifier example'
    # by Eric Meisner November 22, 2003
    # http://www.inf.u-szeged.hu/~ormandi/teaching/mi2/02-naiveBayes-example.pdf
    xcar = [
        ["Red", "Sports", "Domestic"],
        ["Red", "Sports", "Domestic"],
        ["Red", "Sports", "Domestic"],
        ["Yellow", "Sports", "Domestic"],
        ["Yellow", "Sports", "Imported"],
        ["Yellow", "SUV", "Imported"],
        ["Yellow", "SUV", "Imported"],
        ["Yellow", "SUV", "Domestic"],
        ["Red", "SUV", "Imported"],
        ["Red", "Sports", "Imported"],
    ]
    ycar = ["Yes", "No", "Yes", "No", "Yes", "No", "Yes", "No", "No", "Yes"]
    carmodel = NaiveBayes.train(xcar, ycar)
    self.assertEqual(
        "Yes", NaiveBayes.classify(carmodel, ["Red", "Sports", "Domestic"])
    )
    self.assertEqual(
        "No", NaiveBayes.classify(carmodel, ["Red", "SUV", "Domestic"])
    )