Misclassification analysis of discriminant model

被引：0

作者：

Huang, Li-wen ^{[1
,2
]}

机构：

[1] Quanzhou Normal Univ, Coll Math & Comp Sci, Quanzhou 362000, Peoples R China

[2] Putian Univ, Key Lab Financial Math, Putian 351100, Peoples R China

来源：

APPLIED MATHEMATICS-A JOURNAL OF CHINESE UNIVERSITIES SERIES B | 2023年 / 38卷 / 02期

基金：

中国国家自然科学基金;

关键词：

discriminant model; misclassification ratio; misclassification degree; SELECTION;

D O I：

10.1007/s11766-023-3823-8

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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.

引用

页码：180 / 191

页数：12

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