So let's say I create a logistic model to predict who will open a loan based on a based email list that includes who opened and who didn't that's 90% accurate. The model says age, income, bank engagement are three key variables that decide who opens a loan. Is there a way to apply this model to a different email list with the same variables to predict who will open a loan? Or what percentage of the people will open the loan? Or will I just need to analyze the data on the list myself to determine this.
Sorry, probably a dumb question, but it's one thing I've struggled to figure out on my data scientist journey.