Construct · 1 fields · 1 citations
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In machine learning, illusion of progress refers to the argument that gains from sophisticated classifiers over simple ones are often small and lost to real-world issues such as population drift and label error. This meaning comes from Hand (2006) in Statistical Science.[1]
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