What is min and max range of following parameters used for research work in random forest.
n_estimators:
max_depth:
max_features:
min_samples_split:
min_samples_leaf:
min_weight_fraction_leaf
min_impurity_decrease
Every model has its documention on the scikit-learn platform.
For random forest you can get detail answer on this link.
https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html
The parameters of random forest can depend on the dataset being utilised. However, the use of grid search can help to select and tune parameters
https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html
This parameters are dynamic and possible having different value in different problems, but we set it's in normal ranges that used in previous researchs.
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