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Uncertainty quantification for deep learning is a challenging open problem.
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The Higgs boson machine learning challenge
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Neural networks applied to discriminate botanical origin of honeys
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The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets
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