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  "Title": "Performance Metrics for Classification",
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  "Description": "Computes the area under the receiver operating\ncharacteristic curve (AUC) and the average precision of binary\nclassifiers, and their one-vs-rest values for each class of a\nmulticlass outcome. The AUC is the Mann-Whitney U statistic\ndivided by the number of positive-negative pairs (Hanley and\nMcNeil (1982) <doi:10.1148/radiology.143.1.7063747>), and the\naverage precision is the area under the stepwise\nprecision-recall curve. The computations are implemented in the\n'rtemis' 'Rust' crate, which sorts the scores once per problem\nand reads the inputs without copying them.",
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  "BugReports": "https://github.com/rtemis-org/rtemis.ml/issues",
  "License": "BSD_3_clause + file LICENSE",
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  "Language": "en-US",
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  "Date/Publication": "2026-11-12 01:06:27 UTC",
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