Model Evaluation & Validation MCQs

Topic-wise practice questions for Artificial Intelligence & Machine Learning. Test your knowledge, check solutions on demand, and pace your preparation.

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Q11easy
When is MAE (Mean Absolute Error) preferred over MSE (Mean Squared Error)?
Q12easy
What is the Hold-out method?
Q13medium
An e-mail spam filter must ensure that no legitimate mail is ever sent to spam. Which metric must be prioritized?
Q14easy
In regression, what does R-squared ($R^2$) indicate?
Q15medium
Why is Accuracy a misleading metric for a dataset where 95% of samples belong to the "Negative" class?
Q16easy
What is a Classification Report in Scikit-Learn?
Q17easy
You perform 5-fold cross-validation. What do you do with the 5 different accuracy scores?
Q18easy
What does the "Area Under the Curve" (AUC) represent in a binary classifier?
Q19easy
What is an ROC Curve plotting?