1. Describe what is happening in the following below cases.
   1. An RRSP model is developed from  a random sample of bank's customer and is applied to customers over the age of 55 and performs miserably. Why?
   2. A logistic regression model performs the same as a multiple regression in predicting response. Why?
   3.  The same logistic model is developed but never used. Why?
   4. A decision tree model is used over a logistic regression despite the fact that both models perform equally well. Why

What is the one advantage in building a deep learning model over a logistic regression model.

Answer rating: 100% (QA)

1 Poor Performance of RRSP Model with Customers over 55 The RRSP Registered Retirement Savings Plan model developed from a random sample of bank customers may perform poorly when applied to customers ... View the full answer