Fraud Detection on CCF
89F1 ScoreXGBoost
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| XGBoost2025.12 | 89 | 0.89 | 92 | 86 | |
| Random Forest2025.12 | 85 | 0.85 | 92 | 78 | |
| TabM2025.12 | 85 | 0.85 | 92 | 79 | |
| FinFRE-RAGBase Model=Gemma 3-12B2025.12 | 79 | 0.8 | 68 | 93 | |
| FinFRE-RAGBase Model=Gemma 3-27B2025.12 | 79 | 0.78 | 79 | 79 | |
| FinFRE-RAGBase Model=GPT-OSS-120B2025.12 | 44 | 0.46 | 33 | 64 | |
| FinFRE-RAGBase Model=Qwen3-14B2025.12 | 31 | 0.36 | 20 | 64 | |
| FinFRE-RAGBase Model=GPT-OSS-20B2025.12 | 24 | 0.32 | 15 | 71 | |
| FinFRE-RAGBase Model=Qwen3-Next-80B2025.12 | 8 | 0.19 | 4 | 86 | |
| GPT-OSS-20B2025.12 | 2 | 0.04 | 1 | 21 | |
| Qwen3-Next-80B2025.12 | 1 | 0.07 | 1 | 85 | |
| GPT-OSS-120B2025.12 | 1 | 0.06 | 1 | 64 | |
| Qwen3-14B2025.12 | 0 | -0.01 | 0 | 0 | |
| Gemma 3-12B2025.12 | 0 | 0 | 0 | 7 | |
| Gemma 3-27B2025.12 | 0 | 0.01 | 0 | 43 |