What is the main difference between a regression problem and a classification problem in the context of machine learning?
a) Regression focuses on predicting continuous values, while classification focuses on categorizing data into specific classes.
b) Regression focuses on categorizing data into specific classes, while classification focuses on predicting continuous values.
c) Regression and classification are interchangeable terms in machine learning.
d) There is no difference between regression problems and classification problems.