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Given a table image, if all structure tokens for this image are all classified correctly, it is correct, or it is labeled as wrong. Suppose you have 10000 table images, 8000 are recognized correctly, then the accuracy is 80%.
I read that the accuracy of the tokens is about 77%, so how to calculate or any script?
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