Update README.md

README.md

@@ -126,7 +126,7 @@ then load, featurize, split, fit, and evaluate the catboost model
       representations = load_representations_from_dicts([{"name": "morgan"}, {"name": "maccs_rdkit"}]))
 
     model = load_model_from_dict({
-        "name": "random_forest_regressor",
+        "name": "cat_boost__regressor",
         "config": {
             "x_features": ['smiles::morgan', 'smiles::maccs_rdkit'],
             "y_features": ['log_solubility'],