The most important hyperparameters to tune in Random Forest are:
- n_estimators
- max_depth
- min_samples_split
- min_samples_leaf
- max_features
Visit the following links to know about the default values of the above hyperparameters in Random Forest.
The optimal values of the hyperparameters can be found by performing Hyperparameter Tuning.
Visit the following links to study hyperparameter tuning in scikit-learn:
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