Machine Learning 1: UNIT 4 (B) : Ensemble Learning and Random Forests Questions
UNIT
4
Ensemble Learning and Random Forests
Long
Answer Questions
- Explain voting classifier.
- Explain bagging and pasting with example.
- How
Bagging and Pasting done using Scikit-Learn? Explain.
- Define
Out-of-Bag Evaluation. What is the benefit of out-of-bag evaluation?
- How
can you make extra-trees? Explain.
- Explain
Random Forest with example.
- What
is the purpose of Feature Importance in Random Forest? Explain.
- Explain
Boosting.
- Explain
AdaBoost Algorithm with example.
- Explain
Gradient Boosting.
- Explain
Sacking.
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