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Random forest algorithms with different types of information gain based on deformed entropies. Jupyter notebooks (ipynb) contain codes for building random forests with different types of information gain.

• "ClassificationRandomForest.ipynb" builds random forest for a classification task
• "RegressionRandomForest.ipynb" builds random forest for a regression task
• "Breiman_and_LinearRegression.ipynb" containes baseline models for a regression task, namely, Breiman's random forest and multiple linear regression.