What is the diffferenec between generalization and bayes error?
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The generalization error is the difference between the expected and empirical error. That is, the goal is to characterize the probability that the generalization error is less than some error bound (known as the learning rate and generally dependent..
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Given data points, the empirical error is: The generalization error is the difference between the expected and empirical error. ... That is, the goal is to characterize the probability that the generalization error is less than some error bound (known as the learning rate and generally dependent on and ).
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