| Autor: |
Thiyagarajan, A., Anbazhagan, K. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2822 Issue 1, p1-6, 6p |
| Abstrakt: |
To implement a matrix analysis of personal loan fraud detection using linear regression algorithm and random forest algorithm. The sample size for the algorithm for both groups (n=10) for finding accuracy in personal loan fraud detection. Based on the obtained results, the accuracy rate of the random forest algorithm is 96.88% which is higher than the accuracy rate of linear regression algorithm 87.76%. Statistical significance difference observed between two groups is p=0.00 (p<0.05) 2-tailed based on an independent sample T test. In this proposed paper, the novel random forest algorithm has more accuracy than linear regression algorithm. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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