MATLAB: Understanding the equations behind the ‘logistic’ learner when using fitclinear

Question

I recently performed two-class predictions using the "fitclinear" function in MATLAB, implementing the "logistic" learner.

In the description of the "learner" input argument, the documentation for fitclinear lists only a single equation for regression:

f(x) = Bx + b

This equation only applies to linear regression, and not the logistic learner option. Would it be possible to list/describe the equations that yield the predictions when using the logistic learner? The description of the loss function in this section is informative, but I would appreciate seeing an explicit description of the logistic function.

Answer 1

predict help:

If the linear classification model consists of logistic regression learners, then the software applies the 'logit' score transformation to the raw classification scores (see ScoreTransform).

Then click on ScoreTransform.