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Top 41 Random Forest Interview Questions
Entry Junior Mid Senior Expert
Random Forest Theoretical Questions
Entry
Q2:
Explain how the Random Forests give output for Classification, and Regression problems?
Junior
Junior
Junior
Q5:
Is it necessary to do Cross Validation in Random Forest?
Junior
Q6:
Does Random Forest need Pruning? Why or why not?
Junior
Q7:
How would you find the optimal size of the Bootstrapped Dataset?
Junior
Q8:
What are some hyperparameters in Random Forest?
Junior
Junior
Mid Q11:
What are some drawbacks of using Random Forest?
Mid Q12:
Why Random Forest models are considered not interpretable?
Mid Q13:
Related To: Unsupervised Learning
How is it possible to perform Unsupervised Learning with Random Forest?
Related To: Unsupervised Learning Mid Mid Mid Q16:
What is Variable Selection and what are its Objectives in Random Forest?
Mid Q17:
What is AdaBoost algorithm?
Mid Q18:
Explain the advantages of using Random Forest
Mid Q19:
What is Entropy criteria used to split a node?
Mid Q20:
Related To: Scikit-Learn
How are feature_importances_ in RandomForestClassifier determined in Scikit-Learn?
Related To: Scikit-Learnfeature_importances_ in RandomForestClassifier determined in Scikit-Learn? Mid Q21:
How does Random Forest handle missing values?
Mid Q22:
Why is the training efficiency of Random Forest better than Bagging?
Mid Q23:
What is Out-of-Bag Error?
Mid Q24:
How do you determine the Depth of the Individual Trees?
Mid Q25:
How would you define the criteria to split on at each node of the trees?
Mid Q26:
How does the number of trees affect the Random Forest model?
Mid Mid Q28:
What are proximities in Random Forests?
Mid Q29:
Related To: Decision Trees, Ensemble Learning
What is the difference between OOB score and validation score?
Related To: Decision Trees, Ensemble Learning Mid Q30:
What does Random refer to in Random Forest?
Mid Q31:
Related To: Curse of Dimensionality, Dimensionality Reduction
Does Random Forest suffer from the Curse of Dimensionality?
Related To: Curse of Dimensionality, Dimensionality Reduction Senior Q32:
Related To: Optimisation
In Random Forests, how do you optimize the Number of Trees T in the Forest?
Related To: OptimisationT in the Forest? Senior Q33:
How can you tell the importance of features using Random Forest?
Senior Q34:
Related To: Anomaly Detection, Decision Trees, Logistic Regression
Imagine that you know there are outliers in your data, would you use Logistic Regression?
Related To: Anomaly Detection, Decision Trees, Logistic Regression Senior Q35:
Explain how it is possible to get feature importance in Random Forest using Out Of Bag Error
Senior Q36:
Related To: Ensemble Learning, Neural Networks
Give some reasons to choose Random Forests over Neural Networks
Related To: Ensemble Learning, Neural Networks Senior Q37:
What is Gini Impurity used to split a node?
Senior Senior Q39:
Explain a method of Variable Selection for Random Forest
Expert Q40:
Related To: Anomaly Detection
What technique would you use to prevent Swamping and Masking for Isolation Forest Anomaly Detection?
Related To: Anomaly Detection Expert Q41:
Related To: Ensemble Learning
How would you find the optimal number of random features to consider at each split?
Related To: Ensemble Learning Expert 
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