www.gusucode.com > stats 源码程序 matlab案例代码 > stats/EstimatePredictiveMeasuresOfAssociationExample.m
%% Estimate Predictive Measures of Association for Surrogate Splits %% % Load the |carsmall| data set. Specify |Displacement|, |Horsepower|, and % |Weight| as predictor variables. % Copyright 2015 The MathWorks, Inc. load carsmall X = [Displacement Horsepower Weight]; %% % Grow a regression tree using |MPG| as the response. Specify to use % surrogate splits for missing values. tree = fitrtree(X,MPG,'surrogate','on'); %% % Find the mean predictive measure of association between the predictor % variables. ma = surrogateAssociation(tree) %% % Find the mean predictive measure of association averaged over the % odd-numbered nodes in |tree|. N = 1:2:tree.NumNodes; ma = surrogateAssociation(tree,N)