www.gusucode.com > stats 源码程序 matlab案例代码 > stats/DetermineTheResubstitutionLossOfSVMClassifiersExample.m
%% Determine the Resubstitution Loss 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 data. SVMModel = fitcsvm(X,Y,'ClassNames',{'b','g'},'Standardize',true); %% % |SVMModel| is a trained |ClassificationSVM| classifier. The negative % class is |'b'| and the positive class is |'g'|. %% % Estimate the resubstitution loss (i.e., the in-sample classification % error). L = resubLoss(SVMModel) %% % The SVM classifier misclassifies 5.7% of the training sample radar returns.