Logistic regression is used for classification. Despite being called “regression”. It is useful when you are interested in predicting binary outcomes from a set of continuous predictor variables or features. Logistic regression is useful when the goal is to understand the role of the input variables in explaining the outcome. Keeping our probabilistic view of…