Regression and Classification

y = f(x)
In case of supervised learning, depending on the type of output y , we can divide supervised learning broadly into two branches. If y belongs to a continuous range ( whether it be R ( set of real numbers ) or [a ,b ] or (a ,b ) or [a ,b ) or (a ,b ] where a ,b  belong to R  ), it comes under the branch of Regression. If y belongs to set of categorical values ( whether it be binary or some set of N  ( natural numbers ), or some closed or semi-closed range of natural numbers, or some set of classes ), it comes under the branch of Classification.