What is the primary difference between supervised and unsupervised learning?

Question $38$ options:

Supervised learning is less accurate than unsupervised learning.

Unsupervised learning algorithms are faster than supervised algorithms.

Unsupervised learning uses a decision tree model only.

Supervised learning requires a labeled dataset for training, whereas unsupervised learning does not.

Supervised learning cannot be used for classification tasks.