Suppose you want to create a credit score that differentiates risk between different applicants. What are the advantages of having multiple sub models that are combined to generate the final score versus a single model that just includes all of the variables in the multiple submodels?
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Does this: https://stats.stackexchange.com/questions/373890/separate-models-vs-flags-in-the-same-model answer your question? – kjetil b halvorsen Sep 01 '22 at 22:51