Add results from large-scale multiclass classification benchmarks (#436)

No need for a changelog entry as this change impacts no users.

benchmark/README.md

@@ -194,4 +194,18 @@ Experimental setting: 20 Optuna search trials for XGBoost, CatBoost and LightGBM
 
 #### `scale: large`
 
-TODO
+Experimental setting: 20 Optuna search trials for XGBoost, CatBoost and LightGBM. 3 Optuna search trials and 10 epochs training for deep learning models.
+
+|                     | dataset_0              | dataset_1              | dataset_2                |
+| :------------------ | :--------------------- | :--------------------- | :----------------------- |
+| XGBoost             | Too slow\*             | Too slow\*             | Too slow\*               |
+| CatBoost            | Too slow\*             | Too slow\*             | Too slow\*               |
+| LightGBM            | Too slow\*             | Too slow\*             | Too slow\*               |
+| Trompt              | OOM                    | 0.889±0.063 (55428s)   | 0.804±0.013 (23304s)     |
+| ResNet              | 0.892±0.002 (417s)     | **0.999±0.001 (396s)** | 0.915±0.001 (405s)       |
+| MLP                 | 0.770±0.001 (170s)     | 0.549±0.000 (223s)     | 0.895±0.001 (192s)       |
+| FTTransformerBucket | 0.897±0.004 (4436s)    | 0.502±0.000 (1892s)    | 0.888±0.009 (4414s)      |
+| ExcelFormer         | OOM                    | TODO (code error)      | **0.951±0.002 (10236s)** |
+| FTTransformer       | 0.872±0.005 (7004s)    | 0.540±0.068 (3355s)    | 0.908±0.004 (7514s)      |
+| TabNet              | **0.912±0.004 (219s)** | 0.995±0.001 (301s)     | 0.919±0.003 (187s)       |
+| TabTransformer      | 0.843±0.003 (2810s)    | 0.657±0.187 (2843s)    | 0.854±0.001 (284s)       |