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Random Forest - What are the advantages of random forest regression?


Advantages of Random Forest in Regression Analysis First of all, in contrast to other linear models such as SVMs and multiple linear regression, its risk of overfitting is smaller. Since random forests may accurately predict outcomes using unseen data, this reduces the threshold for error in predictive modeling.