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In my first experimentations with the ML code and data shared, I was able to identify 528 products that were LIKELY misclassified. I clearly say “likely” because only an expert reviewer can determine the correct or better category value. From these first experiments, I share a second version of the product dataset (provide linkECOICOP alternate data) to which I added the following information:
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