Classification of Loan Applications of Garima Bikas Bank Ltd Using Decision Tree Classification Method

Authors

  • Subik Shrestha Department of Mechanical, Pulchowk Campus, T.U.
  • Laxman Paudel Department of Mechanical, Pulchowk Campus, T.U.

DOI:

https://doi.org/10.3126/jacem.v5i0.26763

Keywords:

Loan applications, Gramin Bikas bank, Tree classifications method

Abstract

There is a possibility in finding hidden patterns that might help find a relationship between the information provided by the Loan Applicants during the Loan Application process and the status of their loan repayment. This paper highlights on finding such patterns by building a Decision Tree with the help of the data provided during the loan application process. Eleven attribute information of Five Hundred sixty four loan applicants were collected from Garima Bikas Bank Ltd. A decision tree model with a depth of 6 has been built by calculating the entropy and information gain at each split and selecting the feature with the highest information gain.

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Author Biographies

Subik Shrestha, Department of Mechanical, Pulchowk Campus, T.U.

Lecturer

Laxman Paudel, Department of Mechanical, Pulchowk Campus, T.U.

Lecturer

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Published

2019-12-18

How to Cite

Shrestha, S., & Paudel, L. (2019). Classification of Loan Applications of Garima Bikas Bank Ltd Using Decision Tree Classification Method. Journal of Advanced College of Engineering and Management, 5, 147–152. https://doi.org/10.3126/jacem.v5i0.26763

Issue

Vol. 5 (2019)

Section

Articles

License

JACEM reserves the copyright for the published papers. Author will have right to use content of the published paper in part or in full for their own work.