Fraud Detection on Synthetic Fraud Dataset non-augmented (test)
95.47PrecisionRandom Forest
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Random ForestAugmentation=None2025.07 | 95.47 | 88.75 | 91.84 | 97.71 | |
| XGBoostAugmentation=None2025.07 | 89.93 | 86.07 | 87.86 | 99.63 | |
| KNNAugmentation=None2025.07 | 75.95 | 77.2 | 76.56 | 81.98 | |
| Logistic RegressionAugmentation=None2025.07 | 65.06 | 66.96 | 65.95 | 82.79 |