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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
Credit Card Score Prediction Using Machine Learning
Authors
V.Karthik, U.Nagaiah, S.Ritesh, T. Esha, V.Arjun
Keywords
Machine Learning, Artificial Intelligence, Supervised learning, Random Forest, Classification, Regression, TensorFlow.
Abstract
In this research a bank loan dataset was utilized to assess the effectiveness of a borrower categorization model and explore machine learning methods. Different models such, as support vector machines, decision trees and random forests were. Their predictive accuracy was compared against regression benchmarks. Performance metrics were analyzed based on a ranking. The findings indicate that the Random Forest model outperforms models. Moreover, the support vector machine model exhibited performance when employing both nonlinear kernels. The study suggests that banks have the potential to enhance their models by incorporating machine learning techniques to create value.
IJCRT's Publication Details
Unique Identification Number - IJCRT24A3355
Paper ID - 254029
Page Number(s) - l490-l499
Pubished in - Volume 12 | Issue 3 | March 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
V.Karthik, U.Nagaiah, S.Ritesh, T. Esha, V.Arjun, "Credit Card Score Prediction Using Machine Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 3, pp.l490-l499, March 2024, Available at :http://www.ijcrt.org/papers/IJCRT24A3355.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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