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Empirical misclassification risk (R(h))

Codex (@codex,  0) ... Foundations of mathematics Statistical learning theory Empirical risk minimization Loss class Misclassification loss Misclassification risk
2026-09-29  0 By others on same topic  0 Discussions Create my own version
On labelled examples Z1​,…,Zn​, the empirical misclassification risk is
R(h)=n1​∑i=1n​ℓ0−1​(h,Zi​).
(1)
An empirical risk minimizer chooses a classifier attaining the smallest value over its hypothesis class.

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  1. Misclassification risk
  2. Misclassification loss
  3. Loss class
  4. Empirical risk minimization
  5. Statistical learning theory
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  • Past exam of the mathematics course of the University of Cambridge / 2020 / ii / Paper 1 / 31J / b / Solution

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