Q1easy
What is the primary purpose of KFold Cross-Validation? cv_test.py
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19 Questions Total
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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Practice in Timed ModeQ2easy
In a regression task, what does Mean Squared Error (MSE) measure?
Q3easy
What is the F1-Score?
Q4medium
In a confusion matrix, if you have 80 True Positives, 10 False Positives, and 10 False Negatives, what is the Precision?
Q5easy
If the AUC-ROC score of a model is 0.5, what does it mean?
Q6medium
A cancer detection model must minimize False Negatives (missing a sick patient) because it is dangerous. What metric should the team optimize for?
Q7easy
What is Precision?
Q8easy
What is Specificity?
Q9easy
A model has a high Bias. What does the learning curve look like?
Q10medium
You are optimizing a model. Your training error is 0.1%, but your testing error is 25%. What is this?