www.gusucode.com > stats 源码程序 matlab案例代码 > stats/ComputeTheCrossValidationError1Example.m
%% Compute the Cross-Validation Error % Compute the cross-validation error for a default regression tree. %% % Load the |carsmall| data set. Consider |Displacement|, |Horsepower|, and % |Weight| as predictors of the response |MPG|. % Copyright 2015 The MathWorks, Inc. load carsmall X = [Displacement Horsepower Weight]; %% % Grow a regression tree using the entire data set. Mdl = fitrtree(X,MPG); %% % Compute the cross-validation error. rng(1); % For reproducibility E = cvloss(Mdl) %% % |E| is the 10-fold weighted, averge MSE (weighted by number of test % observations in the folds).