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What are functions of Random forest in R?
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Answer / Chandni
Random Forest is a powerful machine learning algorithm implemented in the rpart and randomForest packages in R. Its main function is to construct multiple decision trees from a randomly selected subset of the training data, then use averaging to improve predictions and handle overfitting. Some common functions of Random Forest in R include: predict(), which makes predictions on new data; plot(), which generates visualizations of trees or variable importances; and varImpPlot(), which creates bar plots displaying the importance of variables.
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