论文标题

序数目标变量模型选择的新方法

A new approach in model selection for ordinal target variables

论文作者

Ballante, Elena, Uberti, Pierpaolo, Figini, Silvia

论文摘要

本文介绍了一种新型方法,以评估以序数变量为特征的预测模型的模型性能,以满足此框架中缺乏合适的工具。我们的方法论建议是模型评估的新指数,可满足数学特性,并且可以轻松计算。为了展示我们的绩效指标的工作原理,提供了在玩具示例和模拟数据上获得的经验证据。根据手头的结果,我们强调的是,对于文献中提出的性能索引,我们的方法可以更好地区分模型选择。

This paper introduces a novel approach to assess model performance for predictive models characterized by an ordinal target variable in order to satisfy the lack of suitable tools in this framework. Our methodological proposal is a new index for model assessment which satisfies mathematical properties and can be easily computed. In order to show how our performance indicator works, empirical evidence achieved on a toy examples and simulated data are provided. On the basis of results at hand, we underline that our approach discriminates better for model selection with respect to performance indexes proposed in the literature.

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