логистическая регрессия
Sign in to saveAlso known as logit regression, logistic model, logit model, logistic regression, logistic models
статистическая модель, основанная на сравнении с логистической кривой
Research
364,581 papers- [Overview of logistic regression model analysis and application].Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] · 2019
- Logistic regression: a brief primer.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2011
- A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.Journal of clinical epidemiology · 2019
- A logistic regression model for prediction of glioma grading based on radiomics.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
- Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio.BMC medical research methodology · 2003
via PubMed
Wikidata facts
- Subclass of
- discriminative model
- Image
- Exam pass logistic curve.svg
- Has use
- regression analysis
Show 5 more facts
- discoverer or inventor
- Joseph Berkson
- Stack Exchange tag
- stackoverflow.com/tags/logistic-regression
- topic's main category
- Category:Logistic regression
- facet of
- data science
via Wikidata · CC0
Article · Русский
Логистическая регрессия или логит-модель (англ. logit model) — статистическая модель, используемая для прогнозирования вероятности возникновения некоторого события путём его сравнения с логистической кривой. Эта регрессия выдаёт ответ в виде вероятности бинарного события (1 или 0).
Abstract from DBpedia / Wikipedia · CC BY-SA