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Logistic loss
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0
)
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Area of mathematics
Probability and statistics
Statistical model
Statistical modelling
Generalized linear model
Logistic regression
Created
2026-09-24
Updated
2026-09-24
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For
a
signed margin
u
=
y
h
(
x
)
, the
logistic loss
is
ϕ
(
u
)
=
lo
g
(
1
+
e
−
u
)
.
(1)
It is convex and has
derivative
ϕ
′
(
u
)
=
−
e
−
u
/
(
1
+
e
−
u
)
.
Table of contents
Positive semidefinite quadratic-form classifier
Logistic loss
Positive semidefinite quadratic-form classifier
0
0
0
Logistic loss
For
a
positive semidefinite trace ball
S
s
, the
quadratic-form
hypothesis class
is
H
s
=
{
h
M
:
x
↦
x
T
M
x
,
M
∈
S
s
}
.
(1)
Its empirical logistic
risk
is convex
as
a
function
of
M
.
Ancestors
(8)
Logistic regression
Generalized linear model
Statistical modelling
Statistical model
Probability and statistics
Area of mathematics
Mathematics
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Incoming links
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L1-penalized logistic regression
Past exam of the mathematics course of the University of Cambridge
/
2021
/
iii
/
Paper 205
/
1
/
b
/
Solution
Past exam of the mathematics course of the University of Cambridge
/
2024
/
iii
/
Paper 218
/
4
/
d
/
Solution
Past exam of the mathematics course of the University of Cambridge
/
2025
/
ii
/
Paper 4
/
30L
/
c
/
Solution
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