Table 8 Credit card fraud results
From: Iterative cleaning and learning of big highly-imbalanced fraud data using unsupervised learning
Credit card fraud | ||
|---|---|---|
Model | AUC | AUPRC |
AE-0 | 0.7261 | 0.3073 |
AE-1 | 0.8169 | 0.3738 |
AE-2 | 0.9035 | 0.4412 |
AE-3 | 0.8955 | 0.4462 |
AE-4 | 0.8814 | 0.4534 |
AE-5 | 0.8649 | 0.4553 |
AE-6 | 0.8553 | 0.4605 |
AE-7 | 0.8466 | 0.4632 |
AE-8 | 0.8401 | 0.4659 |
AE-9 | 0.8339 | 0.4667 |
IF | 0.6586 | 0.3148 |
COPOD | 0.8891 | 0.4455 |