Gini criterion in decision tree classifier

@syed.danish wrote:

Hi,
I am trying to apply to decision trees for classification using following code :
from sklearn import tree
clf=tree.DecisionTreeClassifier(criterion = 'entropy')
clf.fit(X,Y)
I am aware that "entropy" criterion uses information gain to draw decision boundaries but what method is used when we assign "gini" as the criterion ?
Thanks in advance
Syed Danish

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