🦉 🎤   RapidMiner Wisdom 2020 - CALL FOR SPEAKERS   🦉 🎤
We are inviting all community members to submit proposals to speak at Wisdom 2020 in Boston.
Whether it's a cool RapidMiner trick or a use case implementation, we want to see what you have.
Form link is below and deadline for submissions is November 15. See you in Boston!
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.