Subject

    Computer Science

    Topic

    Artificial Intelligence

    The naive Bayes classifier is called "naive" because it assumes that ____.

    a)
    all classes are equally likely
    b)
    the features are independent of each other given the class
    c)
    the data has no noise
    d)
    the model never makes mistakes

    Explanation

    This simplifying assumption is rarely exactly true, but the classifier often works well anyway.

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