Update README.md

README.md

@@ -178,14 +178,14 @@ then load, featurize, split, fit, and evaluate the a catboost model
     
     split_featurised_dataset = featurise_dataset(
       split_dataset,
-      column = "SMILES",
+      column = "Smiles",
       representations = load_representations_from_dicts([{"name": "morgan"}, {"name": "maccs_rdkit"}]))
 
     model = load_model_from_dict({
-        "name": "cat_boost__regressor",
+        "name": "cat_boost_regressor",
         "config": {
             "x_features": ['smiles::morgan', 'smiles::maccs_rdkit'],
-            "y_features": ['log_solubility'],
+            "y_features": ['Class'],
         })
         
     model.train(split_featurised_dataset["train"])