Then, selection trees are developed working with these k characteristics. Each determination tree generates and will save a prediction. Ultimately, the classification products are rated depending on Each individual prediction, and the best-ranked product is employed as the ultimate decision. We applied an ensemble of bagged decision trees in MATLAB
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