论文标题
参数pdf适合良好
Parametric PDF for Goodness of Fit
论文作者
论文摘要
对分类问题的合适方法的好处传统上取决于混乱矩阵。本文旨在通过风险评估和稳定分析工具来丰富这些方法。为此,我们提出一个参数PDF框架。
The goodness of fit methods for classification problems relies traditionally on confusion matrices. This paper aims to enrich these methods with a risk evaluation and stability analysis tools. For this purpose, we present a parametric PDF framework.