Inference, estimation, and decision-making from data
Why does a model that fits the training data perfectly often fail on new data? The bias–variance decomposition gives the exact, quantitative answer. It splits a model's expected prediction error into three pieces, and two of them pull in opposite directions.
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▶ Bias-Variance Decomposition