Update how-to-deploy-model-custom-output.md

Author: santiagxf

articles/machine-learning/how-to-deploy-model-custom-output.md

@@ -33,7 +33,7 @@ This example shows how you can deploy a model to perform batch inference and cus
 
 The model has been trained using an `XGBBoost` classifier and all the required preprocessing has been packaged as a `scikit-learn` pipeline, making this model an end-to-end pipeline that goes from raw data to predictions.
 
-[!INCLUDE [machine-learning-batch-clone](../../includes/machine-learning/azureml-batch-clone-samples-with-studio.md)]
+[!INCLUDE [machine-learning-batch-clone](../../includes/machine-learning/azureml-batch-clone-samples.md)]
 
 The files for this example are in: