## Entropy vs Gini Impurity

Please go through to Entropy and Gini Impurity links to understand each terms in depth. Below are the differences between Entropy and Gini Impurity :

## Entropy

Entropy: It defines the randomness in the data. It helps to find out the root node,intermediate nodes and leaf node to develop the decision tree It is just a metric which measures the impurity. It reaches its minimum (zero) when all cases in the node fall into a single target Read more…

Insert math as
$${}$$