Machine Learning with PySpark by Pramod Singh

Author:Pramod Singh
Language: eng
Format: epub
ISBN: 9781484241318
Publisher: Apress

If we want to calculate the entropy of our target variable (Insurance Premium), we have to first calculate the probability of each class and then use the above formula to calculate entropy.Insurance Premium

High (9)

Low (5)

The probability of a High category is equal to 9/14 =0.64

The probability of Low category is equal to 5/14 =0.36

Entropy = −p(High)log2(p(High)) − p(Low)log2(p(Low))

= −(0.64 ∗ log2(0.64)) − (0.36 ∗ log2(0.36))

= 0.94

In order to build the decision tree, we need to calculate two kinds of entropy:1.Entropy of Target (Insurance Premium)

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