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Top 43 Classification Interview Questions
Entry Junior Mid Senior Expert
Classification Theoretical Questions
Entry
Q2:
Related To: ML Design Patterns
What's the difference between Multiclass Classification models and Multi Label model?
Related To: ML Design Patterns Junior
Junior
Junior
Q5:
Related To: Logistic Regression
How would you make a prediction using a Logistic Regression model?
Related To: Logistic Regression Junior
Junior
Q7:
Related To: Unsupervised Learning, Supervised Learning, K-Means Clustering
What is the difference between KNN and K-means Clustering?
Related To: Unsupervised Learning, Supervised Learning, K-Means Clustering Junior
Q8:
What types of Classification Algorithms do you know?
Junior
Junior
Q10:
Related To: Naïve Bayes
How would you use Naive Bayes classifier for categorical features? What if some features are numerical?
Related To: Naïve Bayes
Mid Mid Mid Q13:
Related To: Model Evaluation
What are some advantages and disadvantages of using AUC to measure the performance of the model?
Related To: Model Evaluation Mid Q14:
Related To: Model Evaluation
How does ROC curve and AUC value help measure how good a model is?
Related To: Model Evaluation Mid Mid Q16:
Related To: Supervised Learning, Logistic Regression
How do you use a supervised Logistic Regression for Classification?
Related To: Supervised Learning, Logistic Regression Mid Mid Q18:
Name some classification metrics and when would you use each one
Mid Mid Mid Q21:
Related To: Naïve Bayes
What's the difference between Generative Classifiers and Discriminative Classifiers? Name some examples of each one
Related To: Naïve Bayes Mid Mid Mid Q24:
Related To: Ensemble Learning
What is the difference between a Weak Learner vs a Strong Learner and why they could be usefu?
Related To: Ensemble Learning Mid Q25:
Related To: Data Processing, Ensemble Learning, Bias & Variance
What's the difference between Bagging and Boosting algorithms?
Related To: Data Processing, Ensemble Learning, Bias & Variance Mid Q26:
Could you convert Regression into Classification and vice versa?
Mid Mid Senior Q29:
Related To: Naïve Bayes, Ensemble Learning
What are the trade-offs between the different types of Classification Algorithms? How would do you choose the best one?
Related To: Naïve Bayes, Ensemble Learning Senior Senior Q31:
Related To: SVM, Logistic Regression
Name some advantages of using Support Vector Machines vs Logistic Regression for classification
Related To: SVM, Logistic Regression Senior Q32:
Related To: Data Processing
What's the difference between Random Oversampling and Random Undersampling and when they can be used?
Related To: Data Processing Senior Q33:
Related To: Model Evaluation, Data Processing
How would you use a Confusion Matrix for determining a model performance?
Related To: Model Evaluation, Data Processing Senior Senior Senior Q36:
Related To: Model Evaluation
How would you choose an evaluation metric for an Imbalanced classification?
Related To: Model Evaluation Senior Senior Senior Q39:
Related To: Naïve Bayes, Logistic Regression
Compare Naive Bayes vs with Logistic Regression to solve classification problems
Related To: Naïve Bayes, Logistic Regression Senior Expert Q41:
Related To: Logistic Regression
Can Logistic Regression be used for an Imbalanced Classification problem?
Related To: Logistic Regression Expert Expert Expert 
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