Correct option is D
• Supervised Learning uses labeled data (manual input-output pairs).
• The model learns by comparing predicted output with actual output.
Information Booster:
• Examples:
Spam detection
Image classification
Additional Knowledge:
• Types of learning:
Supervised → labeled data
Unsupervised → no labels
Reinforcement → learning by rewards