ML functional performance metrics · Question 5 of 60
How is recall calculated?
1 answer is correct. Easy
Show answer
Answer
- B TP / (TP + FN) × 100%
Explanation
Recall tells you how many of the truly positive cases the model found: TP / (TP + FN) × 100%. A high recall means that hardly any positive case slips through.