when set up model with old customer's loan application data, there is this status, one customer maybe applied many times, for different reason, for mortage, for car or other things, some were accepted, some were refused, some were cancelled by themselves. Need use model to know if could approve loan to new customer. If similar customer were refused, so this kind of new customer, we will not aprrove. so these questions i want to know 1, when sent up model, in logistic regression, shoulde put default=1 into model, for refused=1, for noused=1, how to do for cancel, sign 1 or 0? 2, when one customer has different loan application history and with different result, accept/refused, how to define this customer, give **bleep** 1 or 0 to him/her. Or depends on what typ of loan he applied and the result. 3, if want to work out if need approve customer's application, need set up different model based on different loan reason, like mortage, use mortage data to set up a model, then test the new customer; then set up car loan model, then to test customer who apply for car loan?
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