Binary Classification on BODMAS
99.97AccuracyCFSGB+MAML (MeLeMaD)
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| CFSGB+MAML (MeLeMaD)Features=Static2025.12 | 99.97 | 99.99 | 99.94 | 99.97 | 0.9994 | 1 | |
| Clustering + Ensemble MLFeatures=Static2025.12 | 99.75 | — | — | 99.77 | — | — | |
| RFFeatures=Static, Reference=[49]2025.12 | 99.73 | — | — | — | — | — | |
| Hybrid ML (LGBM + XGB + LR)Features=Static2025.12 | 99.62 | 99.61 | 99.5 | 99.56 | — | — | |
| RFFeatures=Static, Reference=[30]2025.12 | 99.48 | 99.52 | 99.42 | 93.57 | — | — | |
| MD-ADAFeatures=Static2025.12 | 99.29 | — | — | 99.13 | — | — | |
| DNNFeatures=Static2025.12 | 99 | 99 | 99 | 99 | — | — | |
| LightGBMFeatures=Static, Reference=[50]2025.12 | 99 | 99 | 99 | 99 | — | — | |
| LightGBMFeatures=Static, Reference=[32]2025.12 | 98 | — | — | 96.1 | — | — | |
| PDL-FEMCFeatures=Static2025.12 | 97.6 | 97.7 | 98 | 96.7 | — | — | |
| ImgConvAttnFeatures=Static2025.12 | 97 | — | — | 96.99 | — | — | |
| CNN (Inception V3)Features=Static2025.12 | 96.27 | 99.3 | 96.56 | 97.91 | — | — | |
| QCNNFeatures=Static2025.12 | 95.6 | 91.99 | 99.9 | 95.78 | — | — |