Tag: error-decomposition

1 topic(s)

Bias–variance tradeoffThe bias-variance tradeoff describes how expected squared test error decomposes into bias, variance, and irreducible noise. Increasing model flexibility usually lowers bias but raises variance, so the best generalization often lies between underfitting and overfitting.