Fraud Detection on IEEE-CIS
82F1TabM
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| TabM2025.12 | 82 | 0.82 | 88 | 76 | — | — | |
| SAGEMethod=SAGE2026.06 | 78.16 | 0.7752 | — | — | 37.81 | 83.38 | |
| ManualMethod=Manual2026.06 | 77.74 | 0.7713 | — | — | 37.99 | 84.41 | |
| XGBoost2025.12 | 74 | 0.73 | 67 | 82 | — | — | |
| FLAMLMethod=FLAML2026.06 | 72.91 | 0.7417 | — | — | 28.99 | 80.09 | |
| FinFRE-RAGBase Model=GPT-OSS-120B2025.12 | 66 | 0.64 | 64 | 68 | — | — | |
| FinFRE-RAGBase Model=Gemma 3-27B2025.12 | 64 | 0.63 | 66 | 63 | — | — | |
| FinFRE-RAGBase Model=Qwen3-14B2025.12 | 62 | 0.6 | 61 | 63 | — | — | |
| AutoGluonMethod=AutoGluon2026.06 | 61.34 | 0.6444 | — | — | 26.85 | 67 | |
| FinFRE-RAGBase Model=GPT-OSS-20B2025.12 | 61 | 0.59 | 54 | 68 | — | — | |
| FinFRE-RAGBase Model=Gemma 3-12B2025.12 | 59 | 0.57 | 59 | 59 | — | — | |
| Random Forest2025.12 | 55 | 0.54 | 46 | 68 | — | — | |
| RSMethod=RS2026.06 | 38.04 | 0.4175 | — | — | 12.16 | 65.22 | |
| FinFRE-RAGBase Model=Qwen3-Next-80B2025.12 | 35 | 0.38 | 23 | 75 | — | — | |
| LLM as CoderMethod=LLM as Coder2026.06 | 32.97 | 0.3555 | — | — | 8.95 | 53 | |
| Qwen3-Next-80B2025.12 | 8 | 0.05 | 4 | 77 | — | — | |
| Qwen3-14B2025.12 | 4 | -0.01 | 3 | 5 | — | — | |
| GPT-OSS-120B2025.12 | 4 | -0.01 | 3 | 8 | — | — | |
| Gemma 3-27B2025.12 | 3 | -0.02 | 2 | 5 | — | — | |
| GPT-OSS-20B2025.12 | 3 | 0 | 3 | 3 | — | — | |
| Gemma 3-12B2025.12 | 1 | -0.03 | 1 | 1 | — | — |