Give me some credit : predictive analysis on the risks of credit | |
| Author | Honore, Paul |
| Call Number | AIT RSPR no.IM-14-04 |
| Subject(s) | Credit--Management Risk management |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. IM-14-04 |
| Abstract | One of the big job of the banks before to allow you a loan, is to check your solvency looking at your debt, your past history with banks ... More this work is done with accuracy, and more the bank will earn money. The objective of this research is to improve the ca pacity of a bank to give a credit to somebody and to be sure that this person will reimb urse his loan without any problems. Briefly, I will study a database and use different algorithms to predict if the customer will be able to repay is loan. I will particularly study on three algorithms which are : Random Forest Regression, Extremely Randomized Tree Regres sion, Gradient Boosting Regression Tree Models, to give a probability for the customer to reimburse is credit. |
| Year | 2014 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. IM-14-04 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Guha, Sumanta; |
| Examination Committee(s) | Anutariya Chutiporn;Duboz, Raphaël; |
| Degree | Research Studies Project Report (M. Sc.) - Asian Institute of Technology, 2014 |