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Explain 48 decision trees?
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Answer / Manoj Kumar Ram
48 decision trees (also known as Random Forest) is an ensemble learning method in data mining that builds multiple decision trees from random subsets of the original dataset. The final prediction for a given input is based on averaging or voting the outputs of individual trees.
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