Update README.md

README.md

@@ -194,7 +194,7 @@ then load, featurize, split, fit, and evaluate the a 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"]['Class'],
+        predictions=preds["cat_boost_regressor::Class"])        
 
 ## Citation