Number of features in a tree of Random Forest classifier-Pyhton
I'm using Random forest classifier to classify a data set. I use python language.
RandomForestClassifier(n_estimators=200,oob_score=True,n_jobs=-1,random_state=101,max_features=None,min_samples_leaf=50)
I set max_features=None. So the individual tree takes all the features. But even though I set max_feature parameter, trees in random forest classifier doesn't use all the features.
How can find the number of features used in an individual tree?
or is there a default value for that?
python
asked Nov 12 '18 at 17:12
Nishara Kavindi
268
add a comment |
I'm using Random forest classifier to classify a data set. I use python language.
RandomForestClassifier(n_estimators=200,oob_score=True,n_jobs=-1,random_state=101,max_features=None,min_samples_leaf=50)
I set max_features=None. So the individual tree takes all the features. But even though I set max_feature parameter, trees in random forest classifier doesn't use all the features.
How can find the number of features used in an individual tree?
or is there a default value for that?
python
asked Nov 12 '18 at 17:12
Nishara Kavindi
268
add a comment |
I'm using Random forest classifier to classify a data set. I use python language.
RandomForestClassifier(n_estimators=200,oob_score=True,n_jobs=-1,random_state=101,max_features=None,min_samples_leaf=50)
I set max_features=None. So the individual tree takes all the features. But even though I set max_feature parameter, trees in random forest classifier doesn't use all the features.
How can find the number of features used in an individual tree?
or is there a default value for that?
python
asked Nov 12 '18 at 17:12
Nishara Kavindi
268
I'm using Random forest classifier to classify a data set. I use python language.
RandomForestClassifier(n_estimators=200,oob_score=True,n_jobs=-1,random_state=101,max_features=None,min_samples_leaf=50)
I set max_features=None. So the individual tree takes all the features. But even though I set max_feature parameter, trees in random forest classifier doesn't use all the features.
How can find the number of features used in an individual tree?
or is there a default value for that?
python
python
asked Nov 12 '18 at 17:12
Nishara Kavindi
268
asked Nov 12 '18 at 17:12
Nishara Kavindi
268
asked Nov 12 '18 at 17:12
Nishara Kavindi
268
asked Nov 12 '18 at 17:12
Nishara Kavindi
268
asked Nov 12 '18 at 17:12
Nishara Kavindi
268
268
add a comment |
add a comment |
1 Answer
1
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oldest
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max_features is the maximum number of features that each tree can consider, not a guarantee that all of the features will be used.
If you want to see the individual trees, you can use the estimators_ attribute. From the docs:
estimators_ : list of DecisionTreeClassifier
The collection of fitted sub-estimators.
answered Nov 12 '18 at 17:25
G. Anderson
1,06929
add a comment |
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1 Answer
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max_features is the maximum number of features that each tree can consider, not a guarantee that all of the features will be used.
If you want to see the individual trees, you can use the estimators_ attribute. From the docs:
estimators_ : list of DecisionTreeClassifier
The collection of fitted sub-estimators.
answered Nov 12 '18 at 17:25
G. Anderson
1,06929
add a comment |
max_features is the maximum number of features that each tree can consider, not a guarantee that all of the features will be used.
If you want to see the individual trees, you can use the estimators_ attribute. From the docs:
estimators_ : list of DecisionTreeClassifier
The collection of fitted sub-estimators.
answered Nov 12 '18 at 17:25
G. Anderson
1,06929
add a comment |
max_features is the maximum number of features that each tree can consider, not a guarantee that all of the features will be used.
If you want to see the individual trees, you can use the estimators_ attribute. From the docs:
estimators_ : list of DecisionTreeClassifier
The collection of fitted sub-estimators.
answered Nov 12 '18 at 17:25
G. Anderson
1,06929
max_features is the maximum number of features that each tree can consider, not a guarantee that all of the features will be used.
If you want to see the individual trees, you can use the estimators_ attribute. From the docs:
estimators_ : list of DecisionTreeClassifier
The collection of fitted sub-estimators.
answered Nov 12 '18 at 17:25
G. Anderson
1,06929
answered Nov 12 '18 at 17:25
G. Anderson
1,06929
answered Nov 12 '18 at 17:25
G. Anderson
1,06929
answered Nov 12 '18 at 17:25
G. Anderson
1,06929
1,06929
add a comment |
add a comment |
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