Supervised learning strategies - regression versus classification

This type of learning has the following two main types of problem to solve:

• Regression problem: This type of problem accepts samples from the problem domain and, after training the model, minimizes the error by comparing the output with the real answers, which allows the prediction of the right answer when given a new unknown sample
• Classification problem: This type of problem uses samples from the domain to assign a label or group to new unknown samples