A good model follows the “Goldilocks” principle in terms of data fitting. Models that underfit data will have poor accuracy, while models that overfit data will fail to generalize. A model that is “just right” will avoid these important problems.
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Suppose you are trying to classify big cats based on features such as claw size, sex, body dimensions, bite strength, color,
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