This tree has been built using gini impurity now during evaluation if we reached at left most node of tree which has value 17/3
it means 17 rows of dataset says YES,3 rows of dataset says NO,
so what should be my final output should i go with majority??Is this how scikit learn works in case of impure leaf nodes??
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