I need to predict with a simple model if a bank customer is still active.
I have some information like the date of the last meeting with the customer, but some of them didn't have any meeting with their advisor.
Customer_Id | Last_meeting_date (in days from now) | Gender |... A 115 F ... B NA F ...
Is it possible to use a special value/flag like 1000 to "indicate" to the tree that we don't have any date ?
In my mind, the decision tree isn't linear like regression, so it can make an exception, like if Last_meeting_date=1000 then... but I'm not sure of it.