Participate in this quiz to evaluate your knowledge of Random Forest, an Ensemble Learning technique in Machine Learning used for regression and classification problems.
Learning resources for this quiz:
- ‘Ensemble Learning’ Interview Questions
- Explain the concept and working of the Random Forest model
- What are the key hyperparameters for a Random Forest model?
- What are the advantages and disadvantages of Random Forest?
- What is Bagging? How do you perform bagging and what are its advantages?
- What is a Decision Tree? Explain the concept and working of a Decision tree model
- What is the difference between Decision Trees, Bagging and Random Forest?
- How is Gradient Boosting different from Random Forest?
- Top 20 Interview Questions on Ensemble Learning with detailed Answers (All free)