www.gusucode.com > stats 源码程序 matlab案例代码 > stats/EstimateTheResubstitutionEdgeOfSVMClassifiersExample.m
%% Estimate the Resubstitution Edge of SVM Classifiers %% % Load the |ionosphere| data set. % Copyright 2015 The MathWorks, Inc. load ionosphere %% % Train an SVM classifier. It is good practice to standardize the % predictors and define the class order. SVMModel = fitcsvm(X,Y,'Standardize',true,'ClassNames',{'b','g'}); %% % |SVMModel| is a trained |ClassificationSVM| classifier. |'b'| is the % negative class and |'g'| is the positive class. %% % Estimate the resubstitution edge. e = resubEdge(SVMModel) %% % The mean of the training sample margins is |5.0999|.