www.gusucode.com > stats 源码程序 matlab案例代码 > stats/EvaluateClassificationErrorOfAClassificationTreeClassifiExample.m

    %% Evaluate the Classification Error of a Classification Tree Classifier
% Evaluate the _k_-fold cross-validation error for a classification tree
% model.
%%
% Load Fisher's iris data set.

% Copyright 2015 The MathWorks, Inc.

load fisheriris
%%
% Train a classification tree using default options.
Mdl = fitctree(meas,species);
%%
% Cross validate the classification tree model.
CVMdl = crossval(Mdl);
%%
% Estimate the 10-fold cross-validation loss.
L = kfoldLoss(CVMdl)