www.gusucode.com > stats 源码程序 matlab案例代码 > stats/EstimateClassificationMarginsFromATrainedSVMClassifierExample.m
%% Estimate In-Sample Classification Margins of SVM Classifiers %% % Load the |ionosphere| data set. % Copyright 2015 The MathWorks, Inc. load ionosphere %% % Train an SVM classifier. It is good practice to specify the class order % and standardize the data. SVMModel = fitcsvm(X,Y,'ClassNames',{'b','g'},'Standardize',true); %% % |SVMModel| is a |ClassificationSVM| classifier. The negative class is % |'b'| and the positive class is |'g'|. %% % Estimate the in-sample classification margins. m = resubMargin(SVMModel); m(10:20) %% % An observation margin is the observed (true) class score minus the maximum % false class score among all scores in the respective class. Classifiers % that yield relatively large margins are desirable.