English(EN) Mutual information and sensitivity analysis for feature selection in customer targeting: a comparative study

银行电话营销特征选择的互信息与敏感性分析

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-24 04:00

arXiv上的一项比较研究探讨了两种特征选择技术：互信息和基于数据的敏感性分析。将这两种方法应用于银行电话营销数据集，均识别出了预测联系成功率的有影响力的特征。研究发现，互信息在较高的误报率下表现更好，而敏感性分析在较低的误报率下表现更优，这表明互信息作为一种较老但仍然有效的方法，可用于特征选择。 AI

影响该研究为商业背景下的预测建模特征选择方法提供了见解。

排序理由该条目是一篇在arXiv上发表的关于机器学习技术的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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报道来源 [1]

arXiv cs.LG TIER_1 English(EN) · Nestor Barraza, Sergio Moro, Marcelo Ferreyra, Adolfo de la Pe\~na · 2026-08-24 04:00

客户定位特征选择的互信息与敏感性分析：一项比较研究

arXiv:2608.20447v1 Announce Type: new Abstract: Feature selection is a highly relevant task in a data-driven knowledge discovery project. Several techniques have been developed aiming at finding the features that influence most an outcome to predict, including mutual information …

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客户定位特征选择的互信息与敏感性分析：一项比较研究

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