machine_learning.random_forest_regressor ======================================== .. py:module:: machine_learning.random_forest_regressor Functions --------- .. autoapisummary:: machine_learning.random_forest_regressor.main Module Contents --------------- .. py:function:: main() -> None Random Forest Regressor Example using sklearn function. The diabetes dataset is used to demonstrate the algorithm. Note: this example previously used the Boston house-price dataset, which was removed from scikit-learn (>=1.2) for ethical reasons. ``load_diabetes`` is a drop-in bundled alternative that ships with scikit-learn, so the example runs offline.