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Explainable AI supported Evaluation and Comparison on Credit Card Fraud Detection Models
Chanisara Kotrachai
, Praewsuphang Chanruangrat
, Tipajin Thaipisutikul
, Worapan Kusakunniran
,
Wen Chin Hsu
, Yi Chun Sun
資訊管理學系
研究成果
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會議論文篇章
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同行評審
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引文 斯高帕斯（Scopus）
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Keyphrases
Accuracy Score
33%
AI Techniques
66%
Credit Card Fraud Detection
100%
Detection Model
100%
Explainable AI
100%
Extreme Gradient Boosting(XGBoost)
33%
F1 Score
33%
Feature Selection
66%
Feature Selection Methods
33%
Fraud Detection System
33%
Innovative Features
33%
K-nearest
33%
Logistic Regression
33%
Machine Learning
33%
Model Performance
33%
Performance Metrics
33%
Precision Score
66%
Precision-recall
33%
Random Forest
33%
Recall Score
33%
Shapley Additive Explanations
33%
XGBoost Regression
33%
Computer Science
Explainable Artificial Intelligence
100%
Extreme Gradient Boosting
66%
Feature Extraction
66%
Feature Selection
100%
Fraud Detection
100%
Interpretability
33%
Learning System
33%
Logistic Regression
33%
Machine Learning
33%
Performance Metric
33%
Performance Model
33%
Random Decision Forest
33%
SHapley Additive exPlanation
33%
Biochemistry, Genetics and Molecular Biology
Artificial Intelligence
100%
Feature Extraction
100%
Fraud
100%
K Nearest Neighbor
33%
Random Forest
33%
Mathematics
Credit Card
100%
Fraud Detection
100%
Interpretability
33%
Logistic Regression
33%
Nearest Neighbor
33%
Performance Model
33%
Agricultural and Biological Sciences
Artificial Intelligence
100%
Fraud
100%
Selection Method
33%
Economics, Econometrics and Finance
Credit Card Fraud
100%
Logit Model
50%
Machine Learning
50%