判别模型的误分类分析

IF 1 4区 数学
Li-wen Huang
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引用次数: 0

摘要

本文扩展了判别模型误分类率的判定标准,提出了一种新的判别模型选择方法。对于判别模型的选择,该方法通过判别模型的错分类率和样本的错分类程度建立错分类程度比规则。为了测试该方法的效果,本工作使用了七个UCI数据集。算例的数值实验表明,该方法具有一定的合理性,对判别模型的选择有较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Misclassification analysis of discriminant model

This paper extends the criterion of the misclassification ratio of discriminant model and presents a new selection method of discriminant model. For selecting the discriminant model, this method establishes the rule of misclassification degree ratio through misclassification ratio of the discriminant model and misclassification degree of the samples. To test the effect of this method, this work uses seven UCI data sets. Numerical experiments on these examples indicate that this method has certain rationality and has a better effect to select a discriminant model.

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来源期刊
自引率
10.00%
发文量
33
期刊介绍: Applied Mathematics promotes the integration of mathematics with other scientific disciplines, expanding its fields of study and promoting the development of relevant interdisciplinary subjects. The journal mainly publishes original research papers that apply mathematical concepts, theories and methods to other subjects such as physics, chemistry, biology, information science, energy, environmental science, economics, and finance. In addition, it also reports the latest developments and trends in which mathematics interacts with other disciplines. Readers include professors and students, professionals in applied mathematics, and engineers at research institutes and in industry. Applied Mathematics - A Journal of Chinese Universities has been an English-language quarterly since 1993. The English edition, abbreviated as Series B, has different contents than this Chinese edition, Series A.
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