Update README.md

README.md

@@ -27,7 +27,7 @@ We created **TabBench**, the first benchmark dedicated to evaluating and advanci
   - Real-world use cases: product categorization, deduplication
   - Easily evaluate your model or dataset for each use case thanks to a steamlined Workflow logic (load → vectorize → predict → evaluate)  
   - Evaluation on both industrial datasets (private) & academic ones (OpenML)
-  - Classic ML & Tabular Foundation models: NICL, TabICL, TabPFNv2, XGBoost, CatBoost, LightGBM, MLP  
+  - Classical ML & Tabular Foundation models: NICL, TabICL, TabPFNv2, XGBoost, CatBoost, LightGBM, MLP  
   - Built on **Neuralk Foundry**, an open-source, modular framework to customize your own industrial workflows 
 
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