I have a python program that makes predictions using scikit-learn
RandomForestClassifier. The label is called "default" and it's the default status of a loan. This works fine.
What I need now is to extend this model, and have another label called "Prepayment Percentage" that needs to be trained using the same data as the "default" label. Ideally, the model will be trained once and the predictions will also run only once for both labels. Is this possible with