Question

what can be maximum value of KL divergence metric?
a). 1
b.) -1
c). 0.5
d). infinite

Answer 1

Answer:

kl=(model*np.log(model/actual)).sum()

Answer 2

Infinite can be the maximum value of the KL divergence metric.

Explanation:

• KL divergence stands for the Kullback Leibler divergence which is also known as the relative entropy is an important functionality in the mathematical statistics used to measure the different types of probability distribution.
• There are so many values of the KL divergence. For example, 0 indicates that the two probability distributions are equal and infinity is the maximum value of the KL divergence metric.

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