Types of Classification Problems

Classification refers to the prediction of discrete value outcomes. You’ll learn about this idea in detail from reading this lesson.

Types of Classification Problems

%0 node_1 Classification node_2 Binary Classification node_1->node_2 node_3 Multi-Class Classification node_1->node_3 node_4 Multi-Label Classification node_1->node_4 node_1597484605681 Multioutput-multiclass classification node_1->node_1597484605681
Types of Classification Problems

In classification, we come across problems that have instances with a label or class marked to them. One such example of a classification model learns the underlying pattern of the training dataset, which is labeled with some classes. We have the following category of problems in classification.

Binary Classification

In Binary Classification problems, instances of data are labelled with two classes. The following problems fall under the umbrella of Binary Classification problems.

  • Animals in the picture can be recognized as cats or dogs.

  • Churn Prediction, which involves detecting the customers who might avail or cancel a subscription to a Business.

  • Medical Testing which tells whether a person has a particular disease or not.

There are many famous classification models used for Binary Classification Problems.

Multi-class classification

In Multi-class ...