www.gusucode.com > stats 源码程序 matlab案例代码 > stats/EstimateClassificationError1Example.m
%% Estimate Classification Error %% % Load Fisher's iris data set. load fisheriris %% % Boost 100 classification trees using AdaBoostM2. ens = fitensemble(meas,species,'AdaBoostM2',100,'Tree'); %% % Estimate the classification error of the model using the training % observations. L = loss(ens,meas,species) %% % Alternatively, if |ens| is not compact, then you can estimate the % training-sample classification error by passing |ens| to |resubLoss|.