Bank loan prediction system using Logistic Regression
Abstract & Details
Research Area
Computer Science and Engineering
Keywords
Loan
Machine Learning
Training
Testing
Prediction.
Abstract
For financial companies, the loan approval process is crucial. For numerous difficulties, the banking industry is always in need of a more precise predictive modelling system. For the financial sector, predicting credit defaulters is a challenging issue. The loan applications were approved or rejected by the system. A key determining factor in a bank's financial results is loan recovery. Predicting whether a consumer will pay back a debt is exceedingly tough. For vast amounts of data, machine learning (ML) techniques are highly helpful in predicting outcomes. Three machine learning methods, Logistic Regression (LR), Decision Tree (DT), and Random Forest (RF).In this study, are utilised to predict whether consumers will be authorised for loans. The experimental results show that the Logistic Regression will be better when compared to other two algorithms.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | S.Sivaselvi | Erode Sengunthar Engineering College |
| 2 | V.Anupriya | Erode Sengunthar Engineering College |
| 3 | P. Babhu Ganesh | Erode Sengunthar Engineering College |
| 4 | S.Rajapandi | Erode Sengunthar Engineering College |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S.Sivaselvi, V.Anupriya, Ganesh, P. Babhu, & S.Rajapandi (2023). Bank loan prediction system using Logistic Regression. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 326-332.
MLA Style
S.Sivaselvi, et al. "Bank loan prediction system using Logistic Regression." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 326-332.
IEEE Style
S.Sivaselvi, V.Anupriya, P. Babhu Ganesh, and S.Rajapandi, "Bank loan prediction system using Logistic Regression," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 326-332, 2023.
Vancouver Style
S.Sivaselvi, V.Anupriya, Ganesh P. Babhu, S.Rajapandi. Bank loan prediction system using Logistic Regression. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):326-332.
Harvard Style
S.Sivaselvi, V.Anupriya, Ganesh, P. Babhu, & S.Rajapandi (2023) 'Bank loan prediction system using Logistic Regression', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 326-332.
Chicago Style
S.Sivaselvi, et al. "Bank loan prediction system using Logistic Regression." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 326-332.
Turabian Style
S.Sivaselvi, et al. "Bank loan prediction system using Logistic Regression." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 326-332.
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