Generating Trees From Combined Models.
I've 80 models trained on 80 training sets (Same Positive instance but different Negative Instances) using the same classifier(Random Forest with Bootstrapping).
Now, I've combined these models to generate a combined model to use for predictions. However, I'm unable to generate a tree from this combined model. Can anyone suggest, how can I generate a combined tree so that it encompasses the information from all 80 models? I'm currently using WEKA for the analysis. I can't figure out how to generate a tree from the combined model. Any suggestion for some other tool would also be great.
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