- A True
- B False
Answer:
False
Performance Evaluation Measures are used to evaluate how well a machine learning model is performing with the help of metrics such as accuracy, precision, recall, f-score, ROC curve, AUC, sensitivity and specificity. This article discusses these Performance Evaluation Measures in the form of MCQs. The questions will help you to assess your knowledge and understanding of the topic.