Sdam071 May 2026

Question 9 — Modeling & Evaluation (23 marks) a) Compare and contrast two model families covered in SDAM071 (choose from: linear models, tree-based models, ensemble methods, neural networks). Discuss strengths, weaknesses, and typical use cases. (12 marks) b) Given an imbalanced binary classification problem, propose a complete evaluation strategy (metrics, validation scheme, and any resampling or thresholding approaches). Explain why each choice is appropriate. (11 marks)