Q. What does the ROC curve represent?

A
Regression performance
B
Trade-off between true positive rate and false positive rate
C
Clustering accuracy
D
Feature importance
Solution:

The ROC curve plots the true positive rate against the false positive rate, evaluating classification performance.

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