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Random forest is a machine-learning method based on combining the outputs of many decision trees.

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Classification: Random Forest vs. Decision tree

Suppose you are given a dataset with 4 attributes (F1, F2, F3, and F4). The class label is contained in attribute F4. Now you build a random forest classification model and you test its performance …
kalyani Bethi's user avatar