Binomial Logistic Regression Algorithm: Difference between revisions
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* <B>AKA:</B> [[Binomial Logit]]. | * <B>AKA:</B> [[Binomial Logit]]. | ||
* <B>Context:</B> | * <B>Context:</B> | ||
** It can be | ** It can be applied by a [[Binomial Logistic Regression System]] (to solve a [[Binomial Logistic Regression Task]]). | ||
* <B>Counter-Example(s):</B> | * <B>Counter-Example(s):</B> | ||
** a [[Multinomial Logistic Regression Algorithm]]. | ** a [[Multinomial Logistic Regression Algorithm]]. | ||
Revision as of 20:23, 6 November 2015
A Binomial Logistic Regression Algorithm is a logistic regression algorithm that is a binomial classification algorithm.
- AKA: Binomial Logit.
- Context:
- It can be applied by a Binomial Logistic Regression System (to solve a Binomial Logistic Regression Task).
- Counter-Example(s):
- See: Logistic Loss Function, Binomial Distribution, Maximum A Posteriori.