Which statement correctly distinguishes supervised learning from unsupervised learning?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — Supervised learning trains on labeled input-output pairs; unsupervised learning finds structure in unlabeled data
Full explanation below image
Full Explanation
The correct answer is: Supervised learning trains on labeled input-output pairs; unsupervised learning finds structure in unlabeled data. This matches standard ML/AI engineering practice for Domain 1: ML Fundamentals. Distractors confuse adjacent concepts or unsafe operational shortcuts. In production, validate with held-out data, monitoring, and governance appropriate to risk.