4 ms·
Loan companies could model a population's exact historical credit risk by combining extensively detailed loan data, right? But they can't use that calculated cr
by pton_xd 3y ago
Loan companies could model a population's exact historical credit risk by combining extensively detailed loan data, right? But they can't use that calculated credit risk to issue loans because it probably contains off-limits attributes like gender, race, religion, etc.
What about developing their "clean" model by minimizing errors between it and the actual model? The clean model wouldn't contain any regulated inputs but will be as close as you can get to the real thing.
What's the difference, effectively?
- Dylan16807 3y agoThat depends on what "as close as you can get" means, using just those data points. And whether there's extremely overfit training on recent forbidden parameters with a huge number of degrees of freedom, or whether you have the exact opposite.
- Obscurity4340 3y agoSort of like parallel construction but for companies