Hi,
I have this error when trying to run my model with random forest regressor :
ValueError: Invalid parameter min_impurity_split for estimator DecisionTreeRegressor(criterion=‘mse’, max_features=‘auto’). Check the list of available parameters with estimator.get_params().keys().
I have no idea why …
Many thanks
Valid parameters for DecisionTreeRegressor are listed on the scikit-learn documentation: sklearn.tree.DecisionTreeRegressor — scikit-learn 1.0.2 documentation
min_impurity_split is not one of them. Perhaps you’re thinking of min_samples_split or min_impurity_decrease?
Doing something like the following will result in the error you’re seeing:
from sklearn.tree import DecisionTreeRegressor
reg = DecisionTreeRegressor(min_impurity_split=1)
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