How to compute the Gini index, the entropy and the classification error from a decision tree?

How to find the Gini index, the entropy, and the classification error for each node of the tree in the figure below.

Please help me to compute them.

Topic cross-entropy gini-index decision-trees classification

Category Data Science

1
answered at

The higher the Gini index better it is, in this case, there are two ways to split the data, 1st way is by color, 2nd way is by shape. The Weighted Gini index will decide which attribute should be used for splitting. Gini index tries to put all the similar things into one bucket.

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