Classification on MNIST+#
96.88AccuracyTabNet
Evaluation results
| Method | Links | |
|---|---|---|
| TabNet2026.05 | 96.88 | |
| LSPIN2026.05 | 96.77 | |
| DynaTab2026.05 | 96.68 | |
| LLSPIN2026.05 | 96.62 | |
| TabR2026.05 | 96.58 | |
| MLP2026.05 | 96.2 | |
| Lasso2026.05 | 96.09 | |
| XGBoost2026.05 | 95.95 | |
| STG2026.05 | 95.87 | |
| TabSeq2026.05 | 95.83 | |
| GBM2026.05 | 95.65 | |
| CatBoost2026.05 | 95.52 | |
| SVM2026.05 | 95.5 | |
| 1-D CNN2026.05 | 95.43 | |
| LGBM2026.05 | 95.42 | |
| TabM2026.05 | 95.28 | |
| AdaBoost2026.05 | 95.16 | |
| Random Forest2026.05 | 94.87 | |
| CategoryEmbedding2026.05 | 93.02 | |
| KNN2026.05 | 90.95 | |
| Naive Bayes2026.05 | 79.74 | |
| Decision Tree2026.05 | 74.86 |