Classification on DeepLesion+#
95.07AccuracyTabM
Evaluation results
| Method | Links | |
|---|---|---|
| TabM2026.05 | 95.07 | |
| LGBM2026.05 | 94.73 | |
| GBM2026.05 | 94.55 | |
| DynaTab2026.05 | 94.48 | |
| TabR2026.05 | 94.32 | |
| XGBoost2026.05 | 93.78 | |
| Decision Tree2026.05 | 93.78 | |
| LSPIN2026.05 | 93.14 | |
| TabNet2026.05 | 93.02 | |
| MLP2026.05 | 92.93 | |
| CatBoost2026.05 | 92.45 | |
| SVM2026.05 | 92.13 | |
| Lasso2026.05 | 91.94 | |
| STG2026.05 | 91.3 | |
| LLSPIN2026.05 | 90.49 | |
| KNN2026.05 | 89.78 | |
| 1-D CNN2026.05 | 87.19 | |
| Random Forest2026.05 | 86.86 | |
| AdaBoost2026.05 | 84.99 | |
| CategoryEmbedding2026.05 | 82.19 | |
| TabSeq2026.05 | 78.82 | |
| Naive Bayes2026.05 | 18.55 |