How to get the prediction result of each decision tree in random forest?

First I built a random forest regression model

RFModel6=TreeBagger(nTree,TrainVARI,TrainYield,...

'Method','regression','OOBPredictorImportance','on', 'MinLeafSize',nLeaf);

Then how can I get the predicted value of each decision tree?

Answer 1

[Ramtej]

Hi hanwen,

I understand that you are trying to predict value of each decision tree from the ensemble of bagged decision trees.

You can access an individual tree by using the "Trees" property of "TreeBagger" class and predict using each individual tree.

% Example
total_trees = RFModel6.Trees      % cell array of trees

predicted_data = cell(nTree, 1)  % dummy output cell array

for tree=1:nTree
    predicted_data{tree} = predict(total_trees{tree}, X_input);
end

Hope this helps!