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Classification models can usually predict the probabilities per class. One probability number per known class. The model metadata in WML does not include the list of class labels seen in training. This makes it difficult for a scoring application to map predicted probabilities to the corresponding class labels. The application needs to get the labels from a different source, which makes maintenance cumbersome.
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