matlab实现决策树

机器学习决策树的MATLAB实现，帮助深刻理解决策树

function [ predict_y ] = decisionTreePredict（ X tree ）
%predict by the decision tree

N = length（X）;
predict_y = zeros（N 1）;

for i = 1:N
    tmp_tree = tree;
    while ~tmp_tree.leaf
        feature_index = tmp_tree.condition（11）;
        threshold = tmp_tree.condition（12）;
        if X（i feature_index） >= threshold
            tmp_tree = tmp_tree.left;
        else
            tmp_tree = tmp_tree.right;
        end
    end
    predict_y（i） = tmp_tree.result;
end

end

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     目录           0  2015-01-23 04:16  matlab-decisionTree-master\
     文件          39  2015-01-23 04:16  matlab-decisionTree-master\README.md
     文件         480  2015-01-23 04:16  matlab-decisionTree-master\decisionTreePredict.m
     文件        2806  2015-01-23 04:16  matlab-decisionTree-master\decisionTreeTrain.m