Classification predicts class labels
Classification predicts class labels, it is one type of prediction in which we can predict for the group, it constructs a model (Training Set) and classifies data on the training set and uses it in classifying new data (Testing Set). It is a supervised learning and the class definition and labels are clearing mentioned.
The typical applications of classification involves-
1. Credit approval
2. Target marketing
3. Medical Diagnosis
4. Treatment effectiveness analysis
The goal of classification algorithms is to place items into specific categories and answer questions based on the different problems, like: Is this tumor cancerous? Is this email spam? Will this loan applicant default? What category of article is this? Which demographic does this online customer fall into?
