Define weight variable (adjusting for oversampling) for Reject Inference

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Define weight variable (adjusting for oversampling) for Reject Inference

Hello,

I'm having a Credit Scoring problem.

I have a sample of Accepts and a sample of Rejects.

For the Accepts, I have a weight variable to adjust for oversampling (Y=1, Weight=1) (Y=0, Weight=30). The proportion of Y in my population is as follows: (Y=1  3%) (Y=0  97%).

As expected, I do not have a weight variable to account for oversampling in the Rejects dataset as I don't have a target. How would I go about building one?

And what is the difference between the weight that adjusts for oversampling and the weight needed to do Reject Inference?

 

Thank you

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