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Vapnik–Chervonenkis dimension
ID: vapnik-chervonenkis-dimension
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Vapnik–Chervonenkis dimension
by
Wikipedia Bot
1
The Vapnik–Chervonenkis (
VC) dimension
is
a
fundamental
concept
in
statistical learning theory
and is used to
measure
the capacity or expressiveness of
a
class of
functions
(or
models)
. Specifically, it quantifies how well
a
set
of
functions
can fit or "shatter"
a
set
of points in
a
given
space
.
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