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Applied Machine Learning Algorithms / Module 7

Module 7 check

Module 7 Assessment: Ensembles: Bagging, Forests, Boosting, Voting, and Stacking Check

Estimated active time: 30-45 minutes

Question 1

What does each ensemble gain over a single tree? Give the differences.

Pass answer: reports the single-tree score alongside each ensemble and states the gaps.

Question 2

Report training time next to accuracy. Is the trade acceptable?

Pass answer: gives both and makes an explicit judgement rather than assuming accuracy wins.

Question 3

How does boosting differ from bagging in what it corrects?

Pass answer: distinguishes variance reduction from sequential error correction.

Question 4

When would you ship the single tree instead?

Pass answer: names interpretability, latency or a marginal gain, with a figure.