So far we have packaged the drift scans with the following assumption relevant for Target Drift and Concept Drift: When in production you will have to create your datasets containing actuals - irrespective of what the model predicted this feature will refer to what actually happened in reality, e.g. has the customer defaulted on their loan, was the transaction fraudulent, etc. At the moment you will have the same parameter in your config file: parameter ‘label’, but this feature will denote what actually happened in reality. If requested by our users, we are open to adding an actuals dataset type in the packaging in the future, and separately a ‘predicted’ feature.