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In statistics, the logit (logistic unit) or log-odds 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.
History, Applications, Measurement & Standards
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function probit displaystyle probability logistic used distribution operatorname log-odds ln odds frac also logarithm model unit -1 1-p infty standard
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Logit | is a | inverse of the standard logistic function | 0.90 | text |
| Logit | is a | type of function that maps probability values from | 0.90 | text |
| Logit | is a | natural parameter for the binomial distribution .mw-parser-output div.crossreference | 0.90 | text |
| Logit | is a | quantile function of the logistic distribution | 0.90 | text |
| Logit | related to Comparison with probit | Closely | 0.60 | section |
| Logit | related to Comparison with probit | The | 0.60 | section |
| Logit | related to Comparison with probit | CDF | 0.60 | section |
| Logit | related to Comparison with probit | In | 0.60 | section |
| Logit | related to Comparison with probit | Phi | 0.60 | section |
| Logit | related to Comparison with probit | As | 0.60 | section |
| Logit | related to Definition | If | 0.60 | section |
| Logit | related to Definition | The | 0.60 | section |
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