Use the Decision tree algorithm in the RapidMiner Machin learning software to build a model.
In this exercise, you will work with an excel data set that consist of information about individuals who
have applied for a loan. The information included are client identification, income, age, loan amount
they have applied for, and whether or not they have defaulted with a loan payment in the last 10 years.
The process you go through and your final output is supposed to help you create a model that would be
able to identify individuals who are most likely to pose a credit risk to the loan company.
We will use the RapidMiner Data mining software. Make sure you install the correct version of
RpaidMiner Studio on your laptop. Choose either a 32 bit or a 64 bit based on the specifications of the
operating system on your computer. Include as many screenshot (of relevant steps) as possible.
Particularly, you would use the Decision tree algorithm in the RapidMiner Machin learning software to
build a model.
DETAILED ASSIGNMENT
