Update README.md

README.md

@@ -186,7 +186,7 @@ then load, featurize, split, fit, and evaluate the a catboost model
         "config": {
             "x_features": ['smiles::morgan', 'smiles::maccs_rdkit'],
             "y_features": ['Class'],
-        })
+        }})
         
     model.train(split_featurised_dataset["train"])
     preds = model.predict(split_featurised_dataset["test"])