Boosting based Algorithms
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Machine Learning
Tree Based Methods in Machine Learning
Interview questions on Tree Based Methods in Machine Learning.
23 questions
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Boosting based Algorithms
Q2. What are the advantages of bagging over decision trees?
Boosting based Algorithms
Q3. How does bagging reduces the variance in decision trees?
Boosting based Algorithms
Q4. What are some popular algorithms that use bagging?
Boosting based Algorithms
Q5. What's the difference between bagging and boosting?
Boosting based Algorithms
Q6. How does bagging handle imbalanced datasets?
Boosting based Algorithms
Q7. Can bagging be used with any base model?
Boosting based Algorithms
Q8. What are some potential drawbacks of bagging?
Boosting based Algorithms
Q9. What is the trade-off between bagging and variance?
Boosting based Algorithms
Q10. **True or false**: In bagging, we re-sample the training corpus with replacement and there-
fore this may lead to some instances being represented numerous times while other instances not to be represented at all.
Boosting based Algorithms
Q11. Bagging and boosting are two popular ensembling methods. Random forest is a bagging example while XGBoost is a boosting example.
- What are some of the fundamental differences between bagging and boosting algorithms?
- How are they used in deep learning?
Boosting based Algorithms
Q12. How does boosting work?
Boosting based Algorithms
Q13. What are some popular boosting algorithms?
Boosting based Algorithms
Q14. What is the key idea behind AdaBoost?
Boosting based Algorithms
Q15. What is overfitting, and how does boosting address it?
Boosting based Algorithms
Q16. Can boosting models handle noisy data?
Boosting based Algorithms
Q17. What are the hyperparameters in boosting algorithms?
Boosting based Algorithms
Q18. What is the key idea behind XGBoost?
Boosting based Algorithms
Q19. What are some advantages of using XGBoost?
Boosting based Algorithms
Q20. How does LightGBM differ from traditional gradient boosting algorithms?
Boosting based Algorithms
Q21. What is the trade-off between LightGBM's speed and memory consumption?
Boosting based Algorithms
Q22. How does CatBoost handle categorical features?
Boosting based Algorithms