Predict using individual decision trees from random forests

I trained an ensemble model using 'fitensemble' with bagging. I want to find the resubloss for each individual classification tree. I have looked it up all over but couldn't find what I need. Any help would be greatly appreciated.

Answer 1

[happySanta]

Hi,

[y, scores, nodes, stddevs]= model.tree{i}.predict(x);

I hope this would help

Greetings,

Sai