Also known as bias-variance tradeoff, bias–variance problem, bias-variance dilemma, bias-variance problem, bias–variance dilemma
property of a set of predictive models whereby models with a lower bias in parameter estimation have a higher variance of the parameter estimates across samples, and vice versa
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).