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Machine Learning

Performance Metrics

Interview questions on Performance Metrics.

49 questions

All subtopicsRegression MetricsClassification MetricsClustering MetricsMetrics in NLP

Regression Metrics

Q1. List down metrics for evaluating regression tasks?

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Regression Metrics

Q2. Write down mathematical expression of MSE?

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Regression Metrics

Q3. What are benefits of using MSE as loss function?

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Regression Metrics

Q8. What is the significance of a low MSE value?

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Regression Metrics

Q9. How can you minimize MSE in a machine learning model?

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Regression Metrics

Q10. What are weaknesses of mean-squared error(mse)?

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Regression Metrics

Q11. Write the expression for Root Mean Squared Error(RMSE)?

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Regression Metrics

Q12. What is the benefit of using RMSE over MSE?

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Regression Metrics

Q14. Write the mathematical expression for Mean Absolute Error(MAE)?

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Regression Metrics

Q15. What is the benefit of using MAE over RMSE or MSE?

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Regression Metrics

Q16. State one drawback of using MAE over RMSE or MSE?

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Regression Metrics

Q17. What is the difference between MSE and RMSE (Root Mean Square Error)?

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Regression Metrics

Q18. What is Mean Absolute Percentage Error (MAPE), and how is it calculated?

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Regression Metrics

Q19. Why might MAPE be misleading if the actual values of the target variable are very small?

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Regression Metrics

Q20. In which scenarios would MAPE be preferred over metrics like RMSE or MAE?

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Regression Metrics

Q21. How does MAPE handle negative values in the actual data, and why might this be problematic?

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Regression Metrics

Q22. Can MAPE be used to evaluate a model’s performance if the target variable contains zero values?

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Regression Metrics

Q23. What are the benefits of using MAPE in a business context, and what potential pitfalls should be considered?

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Regression Metrics

Q24. How does MAPE handle asymmetric errors, and what might be the implications for model evaluation?

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Regression Metrics

Q28. What does an R-squared value of 0.75 mean?

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Regression Metrics

Q31. What are the benefits of using R-squared as performance indicator?

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Regression Metrics

Q34. When should you use R-squared as an evaluation metric?

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Regression Metrics

Q35. Why do we need adjusted R-squared instead of standard R-squared?

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Regression Metrics

Q36. What is the expression of adjusted R-squared?

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Regression Metrics

Q37. What is the limitation of adjusted R-squared?

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Regression Metrics

Q39. Write the expression of pearson correlation $\rho$?

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Regression Metrics

Q40. What is the range of pearson correlations?

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Regression Metrics

Q41. State the weakness of pearson correlation?

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Regression Metrics

Q43. What is the benefit of using spearman correlation over pearson correlation?

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Regression Metrics

Q44. Write the formula of spearman correlation?

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Regression Metrics

Q45. How can you compute the spearman correlation between two variable $X$ and $Y$?

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Regression Metrics

Q46. How to interpret spearman correlation values?

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Regression Metrics

Q47. State the one scenario where spearman correlation is more appropriate than pearson coefficients?

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Regression Metrics

Q48. What is the limitation of spearman correlation?

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