Question: 1. Probability and odds. In the personal loan example on chapter 10 PPT slides 1315, the following predictions on validation data were received. What is

1. Probability and odds. In the personal loan example on chapter

1. Probability and odds. In the personal loan example on chapter 10 PPT slides 1315, the following predictions on validation data were received. What is the predicted probability that the customer 19 would be a loan acceptor? What are the odds of the customer being a loan acceptor? What are the odds of the customer being a non-acceptor? When default probability cutoff value 0.5 is used for classification, what is the equivalent cutoff value in odds? Will the same classification result be received if cutoff is performed with equivalent odds for customer 19? Explain

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