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Get Started with randomForest

Classification and regression through ensemble learning with random forests.

Getting Started

The randomForest team maintains comprehensive docs that cover installation, configuration, and common patterns.

Visit the randomForest website to create your account and explore pricing options.

Our full tool profile covers randomForest's strengths, weaknesses, pricing, and how it compares to alternatives.

Data scientists who need a robust and interpretable model for classification tasks in R.

Statisticians working on regression problems where variable importance is crucial.

Researchers requiring an ensemble method that can handle high-dimensional data.