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https://substack.com/@importantigravity/note/c-55395870

Stephen Schiff (@importantigravity)

Thanks for this! The skin cancer example gives a powerful warning on the sensitivity of classifiers to artifacts in the training data, even in training sets that have been meticulously groomed for bias.



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Stephen Schiff (@importantigravity)

https://substack.com/@importantigravity/note/c-55395870

Thanks for this! The skin cancer example gives a powerful warning on the sensitivity of classifiers to artifacts in the training data, even in training sets that have been meticulously groomed for bias.



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https://substack.com/@importantigravity/note/c-55395870

Stephen Schiff (@importantigravity)

Thanks for this! The skin cancer example gives a powerful warning on the sensitivity of classifiers to artifacts in the training data, even in training sets that have been meticulously groomed for bias.

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