A generalized bias-variance decomposition applicable to a... — Carmelics

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A generalized bias-variance decomposition applicable to a variety of loss functions, including 0-1 loss, is available.

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1.The standard decomposition is limited to squared loss.
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2.Different inference tasks and stakes call for different loss functions.
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3.Domingos (2000) offers a generalization of the bias-variance decomposition that applies to a variety of loss functions.
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1.Domingos' generalization preserves the bias-variance *labels* but loses their epistemic interpretability under 0-1 loss, making it nominally rather than substantively general.
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2.Under 0-1 loss, bias and variance terms can simultaneously increase together, violating the foundational tradeoff structure the decomposition was meant to illuminate.
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