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Logit
Function in statistics / From Wikipedia, the free encyclopedia
This article is about the binary logit function. For other types of logit, see discrete choice. For the basic regression technique that uses the logit function, see logistic regression. For standard magnitudes combined by multiplication, see logit (unit).
Not to be confused with log probability.
In statistics, the logit (/ˈloʊdʒɪt/ LOH-jit) function is the quantile function associated with the standard logistic distribution. It has many uses in data analysis and machine learning, especially in data transformations.
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Mathematically, the logit is the inverse of the standard logistic function , so the logit is defined as
Because of this, the logit is also called the log-odds since it is equal to the logarithm of the odds where p is a probability. Thus, the logit is a type of function that maps probability values from
to real numbers in
,[1] akin to the probit function.