Tuning Random Forest Hyperparameters

Algorithms benefit from hyperparameter tuning. It is done outside the machine learning model, and it improves the overall performance. The model will not produce accurate results if hyperparameters are not tuned.

Hyperparameter tuning involves finding the optimal values of hyperparameters that maximizes model performance, minimizes losses and produces better outputs.

Source:
https://www.kdnuggets.com/2022/08/tuning-random-forest-hyperparameters.html