RAPIDMINER 9.7 BETA ANNOUNCEMENT
The beta program for the RapidMiner 9.7 release is now available. Lots of amazing new improvements including true version control!
Classification and clustering of clients of a bank
Greetings to all members!
I have never used Rapidminer, I do not know IT and I really need your help. I have a database of about 300 clients of a bank. The database has: name, county, age, civil status, children, active loans, home, higher education, income, company where they work. I have to categorize these clients in 4 categories: A, B, C, D. Category A are customers who have high salary and do not pose a risk. Category B, are clients who receive the credit, and have active credit and who does not represent a risk of default. Category C, are clients that find it harder to borrow, need to have a co-payer or derogation from the bank. Category D, customers who are unlikely to be given credit.
What features of the application should I use to be able to accomplish this project? The application should be like a credit scoring, classify these customers, and divide them into the four categories to show what type of customer gets credit and who does not.
I would like to receive an answer from you, it would help me a lot to know how to start.