Machine Learning 1: UNIT 4 (B) : Ensemble Learning and Random Forests Questions

  

UNIT 4

Ensemble Learning and Random Forests

Long Answer Questions

1. Explain voting classifier.
2. Explain bagging and pasting with example.
3. How Bagging and Pasting done using Scikit-Learn? Explain.
4. Define Out-of-Bag Evaluation. What is the benefit of out-of-bag evaluation?
5. How can you make extra-trees? Explain.
6. Explain Random Forest with example.
7. What is the purpose of Feature Importance in Random Forest? Explain.
8. Explain Boosting.
9. Explain AdaBoost Algorithm with example.
10. Explain Gradient Boosting.
11. Explain Sacking.