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…

Gini Impurity

Gini Impurity: It is a measure of how often a randomly chosen element from the set would be incorrectly labelled. It helps to find out the root node,intermediate nodes and leaf node to develop the decision tree It is used by the CART (classification and regression tree) algorithm for classification Read more…

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