Entropy to calculate information gain for decision tree for classification problems.

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Salad Box
Salad Box 2019-1-10
Hi
I wonder whether Matlab has the function to calculate the entropy in order to calcuate the information gain for decision tree classification problems, or do I have to write my own entropy function for this purpose. It seems that the default entropy function in matlab is not for this purpose.
Example below:
Decision_Tree_1.png
Without looking at any predictors, just calculate the entropy purely for the target. There are 9 'yes's and 5 'no's in the target. To calcuate the entropy, use the standard equation below. I wonder whether matlab has a function like this to calcuate the entropy?
Picture1.png
Picture4.png

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