# Logistic Model Training Task

(Redirected from logistic function fitting task)

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A Logistic Model Training Task is a supervised model-based classification task whose classification function family is a logistic function.

**Context:****Input:**a Logistic Regression Model.**output:**a Fitted Logistic Function.- It can be solved by a Logistic Regression System (that implements an LR algorithm).*
**Counter-Example(s)** - It can (typically) assumes that the Log-Odds of an observation y can be expressed as a linear function of the input variables.

**Example(s)**- use logistic regression to solve the Iris Dataset Classification Task.
- …

**Counter-Example(s)****See:**Linear Regression Task.

## References

### 1997

- (Magder & Hughes, 1997) ⇒ Laurence S. Magder, and James P. Hughes. (1997). “Logistic Regression When the Outcome is Measured with Uncertainty.” American journal of epidemiology 146, no. 2
- QUOTE: ... Epidemiologists often use logistic regression to estimate the effect of various predictors on some binary outcome of interest …