www.gusucode.com > stats 源码程序 matlab案例代码 > stats/TrainBoostedClassificationEnsembleExample.m
%% Train Boosted Classification Ensemble %% % Load the |ionosphere| data set. load ionosphere %% % Train a boosted ensemble of 100 classification trees using all % measurements and the |AdaBoostM1| method. Mdl = fitensemble(X,Y,'AdaBoostM1',100,'tree') %% % |Mdl| is a |ClassificationEnsemble| model object. %% % |Mdl.Trained| is the property that stores a 100-by-1 cell vector % of the trained classification trees (|CompactClassificationTree| model % objects) that compose the ensemble. %% % Plot a graph of the first trained classification tree. view(Mdl.Trained{1},'Mode','graph') %% % By default, |fitensemble| grows stumps for boosted ensembles of trees. %% % Predict the label of the mean of |X|. predMeanX = predict(Mdl,mean(X))