Overfitting
nounverified·updated May 18, 2026
Given a hypothesis space H, a hypothesis h element of H is said to overfit the training data if there exists some alternative hypothesis h' element of H, such that h has smaller error than h' over the training examples, but h' has a smaller error than h over the entire distribution of instance.
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