参数PDF的拟合优度

Adv. Artif. Intell. Mach. Learn. Pub Date : 2022-10-25 DOI:10.48550/arXiv.2210.14005

N. Katz, Uri Itai

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引用次数: 0

摘要

分类问题的拟合优度方法需要一个先验阈值来确定混淆矩阵。尽管如此，这个固定的阈值消除了模型曲线所呈现的信息，可能有利于进一步的研究，如风险评估和稳定性分析。我们提出了一个不同的框架，允许我们使用参数PDF执行这项研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Parametric PDF for Goodness of Fit

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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来源期刊

Adv. Artif. Intell. Mach. Learn.

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