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Top 49 Decision Trees Interview Questions
Entry Junior Mid Senior Expert
Decision Trees Theoretical Questions
Entry
Q2:
What type of node is considered Pure?
Junior
Junior
Junior
Q5:
What are some advantages of using Decision Trees?
Junior
Junior
Mid Q8:
What is Gini Index and how is it used in Decision Trees?
Mid Q9:
What is the Chi-squared test?
Mid Q10:
How does the CART algorithm produce Classification Trees?
Mid Q11:
How does the CART algorithm produce Regression Trees?
Mid Q12:
What is the difference between Post-pruning and Pre-pruning?
Mid Mid Q14:
Related To: Random Forest, Ensemble Learning
What is the difference between OOB score and validation score?
Related To: Random Forest, Ensemble Learning Mid Mid Q16:
How would you tune a Random Forest algorithm to improve its performance?
Mid Q17:
Why do you need to Prune the decision tree?
Mid Mid Q19:
How would you define the Stopping Criteria for decision trees?
Mid Q20:
What is Greedy Splitting?
Mid Q21:
Related To: Data Processing, Ensemble Learning
What are some disadvantages of using Decision Trees and how would you solve them?
Related To: Data Processing, Ensemble Learning Mid Mid Q23:
How would you deal with an Overfitted Decision Tree?
Mid Mid Q25:
Related To: Supervised Learning
What is the difference between Gradient Boosting and Adaptive Boosting?
Related To: Supervised Learning Senior Q26:
What is difference between Gini Impurity and Entropy in Decision Tree?
Senior Q27:
What are the steps for Binary Recursive Partitioning in Decision Trees?
Senior Q28:
What is the Variance Reduction metric in Decision Trees?
Senior Q29:
Related To: Anomaly Detection, Random Forest, Logistic Regression
Imagine that you know there are outliers in your data, would you use Logistic Regression?
Related To: Anomaly Detection, Random Forest, Logistic Regression Senior Senior Q31:
Related To: Neural Networks
What are the differences between Decision Trees and Neural Networks?
Related To: Neural Networks Senior Senior Senior Senior Q35:
What is the relationship between Information Gain and Information Gain Ratio?
Senior Q36:
Compare C4.5 and C5.0 algorithms
Senior Q37:
Compare ID3 and C4.5 algorithms
Senior Q38:
How would you compare different Algorithms to build Decision Trees?
Senior Q39:
Explain how ID3 produces classification trees?
Senior Q40:
Explain how can CART algorithm performs Pruning?
Senior Q41:
What are some disadvantages of the CHAID algorithm?
Senior Q42:
Explain the CHAID algorithm
Senior Q43:
When should I use Gini Impurity as opposed to Information Gain (Entropy)?
Senior Senior Q45:
While building Decision Tree how do you choose which attribute to split at each node?
Senior Q46:
Explain the measure of goodness used by CART
Expert Q47:
Related To: Recommendation Systems
How do you extend Decision Trees to Collaborative Filtering?
Related To: Recommendation Systems Expert Decision Trees Practical Challenges
Mid Expert 
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