Local case-control sampling
id:
local-case-control-sampling-270-17752346
title:
Local case-control sampling
text:
In machine learning, local case-control sampling is an algorithm used to reduce the complexity of training a logistic regression classifier. The algorithm reduces the training complexity by selecting a small subsample of the original dataset for training. It assumes the availability of a (unreliable) pilot estimation of the parameters. It then performs a single pass over the entire dataset using the pilot estimation to identify the most "surprising" samples. In practice, the pilot may come from
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Local_case-control_sampling
date created:
date modified:
2022-08-22T13:19:22Z
main entity:
{"identifier":"Q25052548","url":"https://www.wikidata.org/entity/Q25052548"}
image:
fields total:
13
integrity:
13