Give two differences between Supervised and Unsupervised learning.
Generated by claude-sonnet-4-6 · 2026-06-21 03:19 · grounding rag
Model Answer
| Basis | Supervised Learning | Unsupervised Learning |
|---|---|---|
| Data | Uses labeled data for training. | Uses unlabeled data for training. |
| Goal | Predicts a specific output (classification/regression). | Discovers hidden patterns or clusters in data. |
Example: Spam email filter (Supervised) vs. Customer grouping/clustering (Unsupervised).
Source: Chapter 2, Section 2.2 – Modelling
---
Explanation
- Examiners look for the two clear differences — the most scoring points are labeled vs. unlabeled data and predict output vs. discover patterns.
- Presenting differences in a table format is preferred for "differentiate" questions — it earns full marks neatly.
- Adding a one-line example for each is optional but shows understanding and can secure boundary marks.
- Avoid writing long paragraphs; two crisp rows in a table are sufficient for 2 marks.