Logistic Regression, Generalized Linear Model, Machine Learning, Data Science, Statistical Learning.
call this Generalized Linear Model, even when we are applying non-linearity. This is because the model is still linear but not with the mean of the dependent variable rather some function of it is linearly related. We assume that the input variables influence only via a linear function i.e. eta,