Classification and Regression in Machine Learning Quiz

The main purpose of classification in data analysis is to predict categorical class labels and to classify data based on a training set and class labels, in order to use it in classifying new data.

Classification predicts categorical class labels and classifies data, while regression models continuous-valued functions and predicts unknown or missing values.

Typical applications of classification and regression include credit approval, target marketing, medical diagnosis, and treatment effectiveness analysis.