The primary difference between regression and classification is the output variable in the regression is continuous whereas, in classification, it is discrete. Logistic regression is a supervised classification algorithm. Its model creates a regression model similar to linear regression to forecast the likelihood for a specific data entry belonging to the category labeled as ‘1’.