update benchmark

benchmark/README.md

@@ -91,7 +91,22 @@ Experimental setting: 20 Optuna search trials for XGBoost and CatBoost. 5 Optuna
 
 #### `scale: large`
 
-TODO: Add results.
+
+Experimental setting: 20 Optuna search trials for XGBoost and CatBoost. 3 Optuna search trials and 10 epochs training for deep learning models.
+
+|                     | 0                       |
+|:--------------------|:------------------------|
+| XGBoost             | 0.792±0.000 (28889s)    |
+| CatBoost            | 0.788±0.000 (240s)      |
+| LightGBM            | 0.831±0.000 (167s)      |
+| Trompt              | 0.822±0.002 (15418s)    |
+| ResNet              | 0.831±0.001 (764s)      |
+| MLP                 | 0.824±0.001 (220s)      |
+| FTTransformerBucket | 0.825±0.001 (5387s)     |
+| ExcelFormer         | **0.842±0.002 (5264s)** |
+| FTTransformer       | 0.835±0.001 (5072s)     |
+| TabNet              | 0.837±0.001 (404s)      |
+| TabTransformer      | 0.790±0.002 (457s)      |
 
 ### `task_type: regression`
 Metric: RMSE, lower the better.