Update README.md

README.md

@@ -200,7 +200,7 @@ then load, featurize, split, fit, and evaluate the catboost model
         "name": "cat_boost_regressor",
         "config": {
             "x_features": ['SMILES::morgan', 'SMILES::maccs_rdkit'],
-            "y_features": ['Solubility']}})
+            "y_features": ['Y']}})
     
     model.train(split_featurised_dataset["train"])
     preds = model.predict(split_featurised_dataset["test"])
@@ -208,8 +208,8 @@ then load, featurize, split, fit, and evaluate the catboost model
     regression_suite = load_suite("regression")
     
     scores = regression_suite.compute(
-        references=split_featurised_dataset["test"]['Solubility'],
-        predictions=preds["cat_boost_regressor::Solubility"])    
+        references=split_featurised_dataset["test"]['Y'],
+        predictions=preds["cat_boost_regressor::Y"])