Update README.md

README.md

@@ -199,7 +199,7 @@ then load, featurize, split, fit, and evaluate the a catboost model
         "name": "cat_boost_classifier",
         "config": {
             "x_features": ['SMILES::morgan', 'SMILES::maccs_rdkit'],
-            "y_features": ['Class'],
+            "y_features": ['Y'],
         }})
         
     model.train(split_featurised_dataset["train"])
@@ -208,8 +208,8 @@ then load, featurize, split, fit, and evaluate the a catboost model
     classification_suite = load_suite("classification")
     
     scores = classification_suite.compute(
-        references=split_featurised_dataset["test"]['Class'],
-        predictions=preds["cat_boost_classifier::Class"])        
+        references=split_featurised_dataset["test"]['Y'],
+        predictions=preds["cat_boost_classifier::Y"])        
 
 ## Citation
 Chem. Res. Toxicol. 2022, 35, 9, 1614–1624