Every curve in the function space can be described by the possible objectives it could be applied to. In the case of the logistic function, they are as follows:
- Model the probability of an event p, depending on one or more independent variables. For example, the probability of being awarded a prize, given previous qualifications
- Estimate (this is the regression part) p for a determined observation, related to the possibility of the event not occurring.
- Predict the effect of the change of independent variables using a binary response.
- Classify observations by calculating the probability of an item being of a determined class.