What is the primary purpose of using regression in machine learning? a. What is the primary purpose of using regression in machine learning? b. To classify data into categories c. To model and predict the relationship between a dependent variable and independent variables d. To remove noise and irrelevant data from a dataset

The correct answer is C. To model and predict the relationship between a dependent variable and independent variables.Regression in machine learning is primarily used to understand and predict how one variable (the dependent or target variable) changes in response to one or more other variables (independent variables or features). It helps build a mathematical model that maps inputs to continuous output values.Unlike classification (option b), which assigns data into categories or classes,Regression outputs a continuous value (e.g., predicting house prices, temperatures, or sales figures).Option d (removing noise) is related more to data preprocessing or cleaning, not the primary purpose of regression.

Answered by CloudyClothy | 2025-05-26