{"title":"Parametric PDF for Goodness of Fit","authors":"N. Katz, Uri Itai","doi":"10.48550/arXiv.2210.14005","DOIUrl":null,"url":null,"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 present and may be beneficial 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.","PeriodicalId":373878,"journal":{"name":"Adv. Artif. Intell. Mach. Learn.","volume":"201 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Adv. Artif. Intell. Mach. Learn.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.48550/arXiv.2210.14005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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 present and may be beneficial 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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