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    • Parametric PDF for Goodness of Fit

    Original Research (Published On: 22-Feb-2023 )
    DOI : https://doi.org/10.54364/AAIML.2023.1147

    natan katz

    Adv. Artif. Intell. Mach. Learn., 3 (1):711-730

    1. natan katz: Weizmann InstitueNICECheckpoint

    Download PDF Here Citation Info via Semantic Scholar

    DOI: 10.54364/AAIML.2023.1147

    Article History: Received on: 01-Feb-23, Accepted on: 14-Feb-23, Published on: 22-Feb-23

    Corresponding Author: natan katz

    Email: natan.katz@gmail.com

    Citation: Natan Katz. Parametric PDF for Goodness of Fit. Advances in Artificial Intelligence and Machine Learning. 2023;3(1):47.


    Abstract

        

    The methods for the goodness of fit in classification problems require a prior threshold for determining the confusion matrix. Nonetheless, this fixed threshold removes information that the model’s curves provide, and can be used, for further studies such as risk evaluation and stability analysis. We present a different framework that allows us to perform this study using a parametric PDF.

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