Fraud Detection On Amazon Fraud
評価指標
AUC-ROC
Averaged Precision
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
比較表
モデル名 | AUC-ROC | Averaged Precision |
---|---|---|
pick-and-choose-a-gnn-based-imbalanced | 95.86 | 85.49 |
lex-gnn-label-exploring-graph-neural-network | 97.91 | 92.18 |
rlc-gnn-an-improved-deep-architecture-for | 97.48 | - |
reinforced-neighborhood-selection-guided | 96.19 | - |
semi-supervised-credit-card-fraud-detection-1 | 97.50 | 89.26 |
enhancing-graph-neural-network-based-fraud | 89.73 | 82.19 |