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by erichahn
1877 days ago
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No, this does not solve the problem that he describes in the article. You can have a great crossvalidation score and still struggle on unseen data if the data is relatively dissimilar from your train set. Like X-Ray scans produced from a different machine. There are numerous other examples. CNNs on images for example are famously known to disintegrate on images + white noise (which look the same to a human). |
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