After a successful product annotation you are able to create and train a machine learning model. This model determines all annotations for all products by itself based on user-annotated products. A part of these annotation are annotations is the training set. Later the full user annotations are compared with the model annotations to get the model prediction accuracy. Or more precisely: the more the model predicts correctly the higher is the accuracy.
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