Foundations
Bias–Variance Trade-off
The decomposition of expected prediction error into irreducible noise, squared bias (how far the average model is from truth) and variance (how much the model moves across training sets).
Why interviewers ask about it
The expectation is over resampled training sets, not test points. Say that and you separate yourself from candidates reciting a definition.
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