This assignment addresses course outcome 5 and module learning objectives 1 and 3 . Assignment Overview Historical data gathered to determine whether a customer is a good or bad credit risk for a home equity loan. BAD is the Y variable. Use this data for predictive modeling. In his Module 4 you develop decision tree models. In Module 5 you develop Neural Network Models for the same data. Both models are reported in one report in Module 5. The posted deadline for this week's assignment is for guidance to assure you keep up with the course. Report Instructions Watch the Module 4 Assignment Video in the top window below which demonstrates data preparation and the decision tree models using the crash data set. You will use the methodology with a data set from a different domain as described above for this combined assignment (modules 4 & 5). If you need instructions about how to load the Excel file into a JMP table, please refer to the bottom video below. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Watch the video below about how to load data and generate information and figures needed for model comparison. Video: Assignment 4-5 How to Load Data and Create Output Video: Assignment 4-5 How to Load Data and Create Output ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Watch the video below for additional tips and discussion on this part of the assignment. Required Video: Additional Tips for Equity Data Set Re