VERY SIMPLE CLASSIFICATION RULES PERFORM WELL ON MOST COMMONLY USED DATASETS
VERY SIMPLE CLASSIFICATION RULES PERFORM WELL ON MOST COMMONLY USED DATASETS
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DOI：
10.1023/a:1022631118932
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发表时间：
1993-04-01
期刊：
影响因子：
7.5
通讯作者：
HOLTE, RC
中科院分区：
文献类型：
--
作者：
HOLTE, RC
本文报告了一个实证调查的准确性的规则，分类的基础上，一个单一的属性的例子。在研究的大多数数据集上，这些非常简单的规则中最好的规则与大多数机器学习系统所产生的规则一样准确。本文探讨了这一发现对机器学习研究和应用的影响。
This article reports an empirical investigation of the accuracy of rules that classify examples on the basis of a single attribute. On most datasets studied, the best of these very simple rules is as accurate as the rules induced by the majority of machine learning systems. The article explores the implications of this finding for machine learning research and applications.