Update README.md

README.md

@@ -39,7 +39,7 @@ dataset_info:
   features:
   - name: "SMILES"
     dtype: string
-  - name: "Label"            
+  - name: "Y"            
     dtype:
       class_label:
         names:
@@ -90,11 +90,11 @@ and inspecting the loaded dataset
     HematoxLong2023
     DatasetDict({
       test: Dataset({
-         features: ['SMILES', 'label'],
+         features: ['SMILES', 'Y'],
          num_rows: 594
       })
       train: Dataset({
-          features: ['SMILES', 'label'],
+          features: ['SMILES', 'Y'],
           num_rows: 1788
       })    
     })
@@ -128,7 +128,7 @@ Split and evaluate the catboost model
         "name": "cat_boost_classifier",
         "config": {
             "x_features": ['SMILES::morgan', 'SMILES::maccs_rdkit'],
-            "y_features": ['Label']}})
+            "y_features": ['Y']}})
     
     model.train(split_featurised_dataset["train"])
     preds = model.predict(split_featurised_dataset["test"])
@@ -136,8 +136,8 @@ Split and evaluate the catboost model
     classification_suite = load_suite("classification")
     
     scores = classification_suite.compute(
-        references=split_featurised_dataset["test"]['Label'],
-        predictions=preds["cat_boost_classifier::Label"])        
+        references=split_featurised_dataset["test"]['Y'],
+        predictions=preds["cat_boost_classifier::Y"])        
 
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