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Financial Fraud Detection on IEEE-CIS (out-of-time evaluation)
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0.9289
AUC-ROC
LSTM+XGBoost Ensemble (0.6/0.4)
0.820844
0.848897
0.87695
0.905003
Apr 14, 2026
AUC-ROC
F1-Score
Recall
Temporal AUC
AUC Drift Magnitude
Updated 27d ago
Evaluation Results
Method
Method
Links
AUC-ROC
F1-Score
Recall
Temporal AUC
AUC Drift Magnitude
LSTM+XGBoost Ensemble (0.6/0.4)
Ensemble Weighting=0.6...
2026.04
0.9289
63.6
62.3
0.8898
0.0391
LSTM (this study)
Classification Thresho...
2026.04
0.9205
55.3
62.3
0.8579
0.0626
XGBoost (baseline)
Classification Thresho...
2026.04
0.9021
55.72
81.3
0.9004
0.0017
Transformer
Classification Thresho...
2026.04
0.8832
43.7
57
-
-
GNN / GraphSAGE
Classification Thresho...
2026.04
0.825
32
20
-
-
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