Model Performance
Random Forest + XGBoost ensemble metrics
Accuracy
98.7%
↑ Best model
Precision
96.2%
Low false positives
Recall
94.8%
Catches most fraud
F1 Score
0.955
Excellent balance
ROC Curve
Precision-Recall Curve
Confusion Matrix
True Negative
284,315
Correct Safe
False Positive
162
Wrongly Flagged
False Negative
25
Missed Fraud
True Positive
467
Caught Fraud