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Counterfactual explanations are a popular and very useful way of explaining an ML model prediction. To start, we should implement a basic optimization approach, with the potential to expand into more detailed algorithms in the future.
The text was updated successfully, but these errors were encountered:
Counterfactual explanations are a popular and very useful way of explaining an ML model prediction. To start, we should implement a basic optimization approach, with the potential to expand into more detailed algorithms in the future.
The text was updated successfully, but these errors were encountered: