Table 7 Model performance comparison for 3-models for 3rd original imbalanced test sample (dataset (121,200).
From: Enhancing credit card fraud detection using DBSCAN-augmented disjunctive voting ensemble
Model | Acc | Prec (0) | Rec (0) | F1-score (0) |
|---|---|---|---|---|
Random forest | 1.00 | 0.99 | 0.92 | 0.96 |
KNN | 1.00 | 1.00 | 0.87 | 0.93 |
SVM | 1.00 | 1.00 | 0.91 | 0.95 |
Ensemble voting (RF, KNN&SVM) | 1.00 | 1.00 | 0.93 | 0.97 |
