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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
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On labelled examples
Z
1
,
…
,
Z
n
, the empirical
misclassification risk
is
R
(
h
)
=
n
1
∑
i
=
1
n
ℓ
0
−
1
(
h
,
Z
i
)
.
(1)
An
empirical risk minimizer
chooses
a
classifier
attaining the smallest value over its
hypothesis class
.
Ancestors
(9)
Misclassification risk
Misclassification loss
Loss class
Empirical risk minimization
Statistical learning theory
Foundations of mathematics
Area of mathematics
Mathematics
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(1)
Past exam of the mathematics course of the University of Cambridge
/
2020
/
ii
/
Paper 1
/
31J
/
b
/
Solution
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