April 2018
Beginner to intermediate
282 pages
6h 52m
English
Logistic regression is applied in the case of discrete target variables such as binary responses. In such scenarios, some of the assumptions of linear regression, such as target attribute and features, don't follow a linear relationship, the residuals might not be normally distributed, or the error terms are heteroscedastic. In logistic regression, the target is reconstructed to the log of its odds ratio to fit the regression equation, as shown here:

The odds ratio reflects the probability or likelihood of occurrence of a particular event against the probability of that same event not taking place. If P