Prediction is linked to both classification and regression. The process of classification entails identifying values or things that belong to a certain category. On the other hand, the regression approach includes predicting a response value from a series of outcomes.
When the output of the model has to give the belongingness of data points in a dataset to a certain category, classification is preferred over regression.
We have some bike and automobile names, for example. We’re not interested in learning how these names are linked to bicycles and automobiles. Rather, we would look to see if each name belongs in the bike or automobile categories.