Explain Gini in decision tree algorithm

462    Asked by SnehaPandey in Data Science , Asked on Nov 7, 2019
Answered by Sneha Pandey

It is an impurity which is also a measure of misclassification which applies in a context of multi class classifier. It works similar to entropy but is quicker and easy to calculate. It works on the blow formula.


Where i=number of classes. The similarity between Gini and entropy is shown below


 

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