Explain the various classifier performance measures (accuracy, precis…

Question

Explain the various classifier performance measures (accuracy, precision, recall, sensitivity, specificity, ROC curve).

Related pages

• Evaluation Metrics in Classification — topic
• Fundamentals of Machine Learning syllabus

More PYQs on Evaluation Metrics in Classification

• Calculate precision, recall, F-score and accuracy for the following cases: True positive = 30, True Negative = 20, False positive = 10, False negative = 15