ModelOriented/forester

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forester: Quick and Simple Tools for Training and Testing of Tree-based Models A significant amount of time is spent on building models with high performance. Selecting the appropriate model structures, optimizing hyperparameters and explainability are only part of the process of creating a machine learning-based solution. Despite the wide range of structures considered, tree-based models are champions in competitions or hackathons. So, aren't tree-based models enough? They definitely are and that’s...