How do supervised and unsupervised learning differ in machine learning?

Group of answer choices

Supervised learning focuses on clustering data, while unsupervised learning focuses on making predictions.

Supervised learning algorithms are less complex than unsupervised learning algorithms.

Supervised learning requires labeled data, while unsupervised learning does not.

Supervised learning is used for regression tasks, while unsupervised learning is used for classification tasks.