perfCv4classifier

Performance evaluation for various combinations of classifiers and input normalization schemes

Contents

Syntax

Description

perfData=perfCv4classifier(DS, opt) tries out various classifiers combined with various schemes of input normalization to derive the leave-one-out accuracy.

Example

DS=prData('iris');
opt=perfCv4classifier('defaultOpt');
opt.foldNum=10;
[perfData, bestId]=perfCv4classifier(DS, opt, 1);
structDispInHtml(perfData, 'Performance of various classifiers via cross validation');
% === Display the confusion matrix
confMat=confMatGet(DS.output, perfData(bestId).bestComputedClass);
opt=confMatPlot('defaultOpt');
opt.className=DS.outputName;
figure; confMatPlot(confMat, opt);

See Also

perfCv, perfLoo.

Published with MATLAB® R2018a