📊 Data Science
Q. 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
💬 Discuss
✅ Correct Answer: (D) To evaluate the model's performance on imbalanced datasets

You must be Logged in to update hint/solution

💬 Discussion

📊 Question Analytics

👁️
69
Total Visits
📽️
2 y ago
Published
🎖️
Mr. Dubey
Publisher
📈
96%
Success Rate