Binary Classification on Medical Classification Dataset
75.3AccuracyAIMEN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| AIMEN2024.10 | 75.3 | 73.7 | 69.8 | 67.5 | |
| XGBoost2024.10 | 74.2 | 72.6 | 68.8 | 66.3 | |
| LightGBM2024.10 | 72.6 | 70 | 63.2 | 57.9 | |
| Standalone MLP_v5wrapper=none2024.10 | 70 | 66.6 | 62.1 | 56 | |
| DANETS2024.10 | 69.5 | 66.6 | 61.6 | 56.4 | |
| Standalone MLP_v4wrapper=none2024.10 | 68.4 | 63.6 | 54.4 | 44.2 | |
| Standalone MLP_v2wrapper=none2024.10 | 66.8 | 61.4 | 54.5 | 42.7 | |
| Standalone MLP_v1wrapper=none2024.10 | 65.3 | 59 | 52.3 | 38.7 | |
| Standalone MLP_v3wrapper=none2024.10 | 64.7 | 58.4 | 52.8 | 39.2 | |
| TabNet2024.10 | 53.2 | 43 | 47.8 | 31.8 |