What is the main difference between supervised learning and unsupervised learning?

Correct answer: Supervised learning provides a correct output or label with each input.

In supervised learning, each training input is paired with its correct output or label. The model learns the relationship between inputs and labels, such as classifying an email as “spam” or “not spam.” In contrast, unsupervised learning has no predefined labels and finds groups or patterns in the data. Therefore, option A is correct, while option B incorrectly describes unsupervised learning as using labeled data.