Hi Hyeon,
To individually get every tree’s prediction value you can use the ‘oobPredict’ method.
The ‘oobPredict’ method allows you to obtain the out-of-bag predictions made by each tree in the ensemble.
% ………..your code……….
yourModel = TreeBagger(numTrees, X, Y, ….)
% use one of the following two syntaxes depending on whichever works to get oob predictions for each tree
oobPredictions = oobPredict(yourmodel) or oobPredictions = yourmodel.oobPredict()
% …………your remaining code…………..
In the “oobPredictions” variable, you will have a matrix where each row corresponds to an observation in your dataset, and each column corresponds to the prediction made by a specific tree in the ensemble.
Alternatively, you can check out the following method as well in which you can turn the status for ‘OOBPrediction” attribute in the TreeBagger model as “on”:
Feel free to check out the following links for the “oobPredict” function to get more understanding for the same:
