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random forest classifier

random forest classifier

Sep 04, 2020 · The Random forest classifier creates a set of decision trees from a randomly selected subset of the training set. It is basically a set of decision trees (DT) from a randomly selected subset of the training set and then It collects the votes from different decision trees to decide the final prediction. In this classification algorithm, we will use IRIS flower datasets to train and test the model

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