General Classification on Shrutime
Accuracy
- 2022-06-01 — CatBoost: Accuracy 86.39
| Rank | Model | Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | CatBoost | 86.39 ± 0.04 | Hopular: Modern Hopfield Networks for Tabular Data | ml-jku/hopular | 2022 |
| 2 | LightGBM | 86.18 ± 0.02 | Hopular: Modern Hopfield Networks for Tabular Data | ml-jku/hopular | 2022 |
| 3 | Hopular | 86.12 ± 0.09 | Hopular: Modern Hopfield Networks for Tabular Data | ml-jku/hopular | 2022 |
| 4 | NPTs | 85.62 ± 0.07 | Hopular: Modern Hopfield Networks for Tabular Data | ml-jku/hopular | 2022 |
| 5 | XGBoost | 84.58 ± 0.00 | Hopular: Modern Hopfield Networks for Tabular Data | ml-jku/hopular | 2022 |