Which Of The Following Statements Is Not True About Information #409
Which of the following statements is not true about Information Gain?
This multiple choice question (MCQ) is related to the book/course
gs gs126 Neural Networks.
It can also be found in
gs gs126 Decision Trees - Decision Trees – Gain Measure Implementation - Quiz No.1.
Which of the following statements is not true about Information Gain?
It is the addition in entropy by transforming a dataset
It is calculated by comparing the entropy of the dataset before and after a transformation
It is often used in training decision trees
It is also known as Kullback-Leibler divergence
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