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- W2795890236 abstract "State-of-the-art machine learning algorithms demonstrate close to absolute performance in selected challenges. We provide arguments that the reason can be in low variability of the samples and high effectiveness in learning typical patterns. Due to this fact, standard performance metrics do not reveal model capacity and new metrics are required for the better understanding of state-of-the-art." @default.
- W2795890236 created "2018-04-13" @default.
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- W2795890236 date "2018-04-07" @default.
- W2795890236 modified "2023-09-27" @default.
- W2795890236 title "Not quite unreasonable effectiveness of machine learning algorithms." @default.
- W2795890236 cites W2018140810 @default.
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