🛡️ FRAUD
DETECTION
ANALYTICS
Model Active
Total Transactions
0
In dataset
💳
Fraud Cases
0
2% of total
🚨
RF Accuracy
0
Random Forest
🎯
ROC-AUC Score
0
Near perfect
📈
Class Distribution
ROC Curve — Model Performance
Transaction Amount Distribution
Feature Importance (Random Forest)
Confusion Matrix — Logistic Regression
1957
True Negative ✓
3
False Positive ✗
1
False Negative ✗
39
True Positive ✓
Confusion Matrix — Random Forest
1960
True Negative ✓
0
False Positive ✗
4
False Negative ✗
36
True Positive ✓
Model Comparison