Q1: What does a high variance in a model indicate?

A) The model is underfitting

B) The model performs consistently across datasets

✅  C) The model is overfitting

D) The model generalizes well

Q2: What does the ROC curve plot?

A) Precision vs. Recall

✅  B) True Positive Rate vs. False Positive Rate

C) F1 Score vs. Accuracy

D) Loss vs. Epochs

Q3: Which condition is NOT listed in linear regression assumptions?

A) Normal distribution of features

B) Independent residuals

✅ C) Constant learning rate

D) Homoscedasticity of errors

Q4: What is stratified cross-validation?

A) Splitting data randomly into k folds