Classification on HELOC (Model Specific Accuracies)
73Mean AccuracyEB2M
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| EB2MCategory=GA2M, Protocol=5-fold CV2026.02 | 73 | — | — | — | |
| EBMCategory=GAM, Protocol=5-fold CV2026.02 | 72.8 | — | — | — | |
| CALMCategory=CALM, Protocol=5-fold CV2026.02 | 72.8 | — | — | — | |
| GAMICategory=GA2M, Protocol=5-fold CV2026.02 | 72.5 | — | — | — | |
| NAMCategory=GAM, Protocol=5-fold CV2026.02 | 72.3 | — | — | — | |
| OriginalData Source=Original Data2024.06 | 72 | 76 | 62 | 78 | |
| XGBCategory=BB, Protocol=5-fold CV2026.02 | 71.7 | — | — | — | |
| NODECategory=GA2M, Protocol=5-fold CV2026.02 | 71.5 | — | — | — | |
| P-TABackbone=Neo2024.06 | 69.5 | 75.65 | 55.03 | 77.83 | |
| GPT-Neo + GReaTGenerator=GPT-Neo, Synthesizer=GReaT2024.06 | 68 | 66 | 60 | 78 | |
| Original2024.06 | 67.3 | 69.79 | 62 | 70.12 | |
| GPT-Neo + P-TAGenerator=GPT-Neo, Synthesizer=P-TA2024.06 | 66 | 64 | 57 | 77 | |
| GReaTBackbone=Neo2024.06 | 65.25 | 64.39 | 60.16 | 71.2 | |
| TVAE2024.06 | 64.89 | 61.04 | 66.39 | 67.24 | |
| GPT-2 + P-TAGenerator=GPT-2, Synthesizer=P-TA2024.06 | 61 | 54 | 57 | 72 | |
| CTGAN2024.06 | 60.47 | 57.72 | 61.34 | 62.35 | |
| GPT-2 + GReaTGenerator=GPT-2, Synthesizer=GReaT2024.06 | 60 | 54 | 57 | 68 | |
| P-TABackbone=GPT-22024.06 | 58.49 | 51.64 | 57.14 | 66.7 | |
| GReaTBackbone=GPT-22024.06 | 57.25 | 52.44 | 56.51 | 62.8 | |
| CopulaGAN2024.06 | 42.25 | 42.03 | 42.36 | 42.35 |