Table 11 Learner AUC results by dataset
From: Big Data fraud detection using multiple medicare data sources
Dataset | Logistic Regression | Gradient Boosted Trees | Random Forest |
|---|---|---|---|
Combined | 0.81554 | 0.79047 | 0.79383 |
Part B | 0.80516 | 0.79569 | 0.79604 |
Part D | 0.78164 | 0.74851 | 0.70888 |
DMEPOS | 0.74063 | 0.73129 | 0.70756 |