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Bias, Variance, and Cross-Validation

The exact three-term decomposition of expected test error, and how k-fold resampling estimates that error honestly from data you already have.

FoundationsModule 430 min · 120 XP
Squared bias falling and variance rising drawn separately, then added into the familiar U - and the LOOCV training sets shown overlapping almost completely.

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