Question 19
In a credit risk scenario, if a model has high recall but low precision, it implies that:
The model correctly identifies a high percentage of non-risky customers but makes many mistakes in identifying risky customers.
The model correctly identifies a high percentage of risky customers but also incorrectly labels many non-risky customers as risky.
The model correctly identifies a high percentage of non-risky customers and makes few mistakes in identifying risky customers.
The model correctly identifies a high percentage of risky customers and makes few mistakes in identifying non-risky customers.