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Fraud Detection on Synthetic Fraud Dataset non-augmented (test)
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95.47
Precision
Random Forest
63.8436
72.0543
80.265
88.4757
Jul 19, 2025
Precision
Recall
F1-score
AUC-ROC
Updated 24d ago
Evaluation Results
Method
Method
Links
Precision
Recall
F1-score
AUC-ROC
Random Forest
Augmentation=None
2025.07
95.47
88.75
91.84
97.71
XGBoost
Augmentation=None
2025.07
89.93
86.07
87.86
99.63
KNN
Augmentation=None
2025.07
75.95
77.2
76.56
81.98
Logistic Regression
Augmentation=None
2025.07
65.06
66.96
65.95
82.79
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