Q20
What is the primary purpose of a ROC-AUC (Receiver Operating Characteristic - Area Under the Curve) score in model evaluation?
A.
To compare different machine learning algorithms
B.
To visualize the model's decision boundary
C.
To measure the model's prediction accuracy
D.
To evaluate the model's performance on imbalanced datasets
AnswerAnswer: Option D
Solution
Answer: Option D
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