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

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????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