ISSN :2582-9793

Parametric PDF for Goodness of Fit

Original Research (Published On: 22-Feb-2023 )
Parametric PDF for Goodness of Fit
DOI : 10.54364/AAIML.2023.1147

natan katz

Adv. Artif. Intell. Mach. Learn., 3 (1):711-740

natan katz : Weizmann Institue NICE Checkpoint

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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 (2023). Parametric PDF for Goodness of Fit. Adv. Artif. Intell. Mach. Learn., 3 (1 ):711-740


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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