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Overfitting

Learning details of the training examples that do not transfer well to new examples.

The plain-English version

Learning details of the training examples that do not transfer well to new examples.

Why it matters

A low training error can coexist with poor real-world usefulness.

Let’s make it click

An increasingly complex predictor memorizes rare patterns in a small training table.

Vibe Bro’s heads-up

Adding more complexity to improve the training score can worsen generalization; compare held-out behavior and simpler baselines.

The docs behind it

Editorial review · October 28, 2026

Supported: Overfitting and the distinction between training fit and generalization are correctly stated.

Read the content review record.

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