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  "Title": "Standardized Accuracy and Other Model Performance Metrics",
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  "Description": "Standardized accuracy (staccuracy) is a framework for\nexpressing accuracy scores such that 50% represents a reference\nlevel of performance and 100% is a perfect prediction. The\n'staccuracy' package provides tools for creating staccuracy\nfunctions as well as some recommended staccuracy measures. It\nalso provides functions for some classic performance metrics\nsuch as mean absolute error (MAE), root mean squared error\n(RMSE), and area under the receiver operating characteristic\ncurve (AUCROC), as well as their winsorized versions when\napplicable.",
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  "Date/Publication": "2025-02-23 14:24:58 UTC",
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      "title": "Standardized accuracy (staccuracy) functions.",
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        "sa_wmae_mad",
        "sa_wrmse_sd",
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