Misclassification analysis of discriminant model  

作　　者：HUANG Li-wen 

机构地区：[1]College of Mathematics and Computer science,Quanzhou Normal University,Quanzhou 362000,China [2]Key Laboratory of Financial Mathematics,Putian University,Putian 351100,China

出　　处：《Applied Mathematics(A Journal of Chinese Universities)》2023年第2期180-191,共12页高校应用数学学报（英文版）（B辑）

基　　金：Supported by the National Natural Science Foundation of China(52070119);Key Laboratory of Financial Mathematics of Fujian Province University(Putian University)(JR201801).

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.

关 键 词：discriminant model misclassi cation ratio misclassi cation degree 

分 类 号：O212[理学—概率论与数理统计]