Computer Science, asked by verma1371998swati, 5 months ago

How do you calculate the entropy of children nodes after the split based on a feature?

Answers

Answered by saeek96k

Answer:

ID3 algorithm uses entropy to calculate the homogeneity of a sample. If the sample is completely homogeneous the entropy is zero and if the sample is an equally divided it has entropy of one. The information gain is based on the decrease in entropy after a dataset is split on an attribute.

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