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Hi, the only difference is that BaggingML allows for sampling with replacement for each model, whereas EnsembleML is a simple ensemble (a simple cut of the training set for each model, i.e., sampling without replacement).
Hello,
I would like to know what is the difference between the meta multi-label classifiers EnsembleML and BaggingML. Is there a reference for EnsembleML?
Thanks,
Alex de Sá
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