Evaluating Machine Learning Algorithms for Financial Fraud Detection: Insights from Indonesia

Evaluating Machine Learning Algorithms for Financial Fraud Detection: Insights from Indonesia

The study utilized Multiple Linear Regression along with advanced classification algorithms such as Logistic Regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Tree, and Random Forest, to detect financial statement fraud. Model performance was evaluated using key metrics,...

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Bibliographic Details
Main Authors: Cheng-Wen Lee, Mao-Wen Fu, Chin-Chuan Wang, Muh. Irfandy Azis
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
financial statement
fraud detection
regression
classification algorithms
Online Access:https://www.mdpi.com/2227-7390/13/4/600
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