Question: Bank X decided to use a new algorithm to forecast their customer behavior for specific loan approval. The algorithm takes the customer historical data and

Bank X decided to use a new algorithm to forecast their customer behavior for specific loan approval. The algorithm takes the customer historical data and uses a machine-learning model to forecast if the loan application for a customer will be approved or not.

The results look like below:

TP: 320	FN:43
FP:20	TN:538

What are the precision & accuracy values, respectively?

Select one:

a. 0.941 & 0.961

b. 0.941 & 0.931

c. 0.951 & 0.941

d. 0.882 & 0.931

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