Update README.md

README.md

@@ -90,11 +90,11 @@ and inspecting the loaded dataset
     HematoxLong2023
     DatasetDict({
       test: Dataset({
-         features: ['new SMILES', 'label'],
+         features: ['SMILES', 'label'],
          num_rows: 594
       })
       train: Dataset({
-          features: ['new SMILES', 'label'],
+          features: ['SMILES', 'label'],
           num_rows: 1788
       })    
     })
@@ -121,13 +121,13 @@ Split and evaluate the catboost model
     
     split_featurised_dataset = featurise_dataset(
       split_dataset,
-      column = "new SMILES",
+      column = "SMILES",
       representations = load_representations_from_dicts([{"name": "morgan"}, {"name": "maccs_rdkit"}]))
 
     model = load_model_from_dict({
         "name": "cat_boost_classifier",
         "config": {
-            "x_features": ['new SMILES::morgan', 'new SMILES::maccs_rdkit'],
+            "x_features": ['SMILES::morgan', 'SMILES::maccs_rdkit'],
             "y_features": ['Label']}})
     
     model.train(split_featurised_dataset["train"])