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Fraud Detection on Credit Card Fraud Detection (test)

91.83Recall

Random Forest

Updated 23d ago

Evaluation Results

Method	Links
Random Forest 2025.07		91.83	96.58	96.85	94.08	-
XGBoost 2025.07		91.83	94.55	98.49	93.15	-
Random Forest 2025.07		91.83	96.58	96.85	94.08	-
XGBoost 2025.07		91.83	94.55	98.89	93.15	-
XGBoost 2025.07		90.81	94.43	98.31	92.54	-
Random Forest 2025.07		90.81	96.5	96.81	93.47	-
KNN 2025.07		89.79	95.33	94.88	92.38	-
KNN 2025.07		89.79	95.33	94.88	92.38	-
KNN 2025.07		89.79	95.33	94.88	92.38	-
Logistic Regression 2025.07		89.77	86.25	97.05	87.48	-
Logistic Regression 2025.07		89.77	86.09	97.38	87.84	-
Logistic Regression 2025.07		88.75	85.83	97.59	87.23	-
Majority Vote 2026.05		84.6	-	-	89.6	15.4
Best Individual 2026.05		84.4	-	-	88.5	15.6
Brier 2026.05		83.9	-	-	89.6	16.1
Externality 2026.05		83.9	-	-	89.6	16.1
Conf-Weighted 2026.05		83.9	-	-	89.6	16.1
VCG (Ours) 2026.05		83.8	-	-	88.1	16.2
Stacking-MLP 2026.05		83	-	-	89.4	17
XGBoost 2026.02		82.2	80.6	97.7	81.4	-
Stacking-LR 2026.05		82.1	-	-	89.1	17.9
Log-Odds 2026.05		81.5	-	-	88.8	18.5
Decision Tree 2026.02		81	69.9	92.4	74.6	-
Logistic Regression 2026.02		80.6	76.5	97.9	78	-
EBM 2026.02		76.3	91.7	98.3	83.1	-
Random Forest 2026.02		76.1	94.2	97.6	83.7	-