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Suitable model for predicting a range-bound label?
I am working on a problem where you need to predict percentage loss from a loan-default. I am wondering how it should be modeled:
1. Should no-default (0% loss) be predicted as a binary classification separately, given that it is the most frequent occurrence?
2. if I use linear regression to predict percentage loss, how can I make the label range-bound (0-100)?
Thanks in advance!