How To Calculate Information Gain

How is information gain calculated? - Open Source Automation

https://theautomatic.net/2020/02/18/how-is-information-gain-calculated/

Using the formula from above, we can calculate it like this: - ( [3/6 * log2(3/6)] + [2/6 * log2(2/6)] + [1/6 * log2(1/6)]) = 1.459148. Likewise, we want to get the information gain for the size variable. - ( [3/6 * log2(3/6)] + [2/6 * log2(2/6)] + [1/6 * …

Information Gain and Mutual Information for Machine Learning

https://machinelearningmastery.com/information-gain-and-mutual-information/

Entropy and Information Gain in Decision Trees

https://towardsdatascience.com/entropy-and-information-gain-in-decision-trees-c7db67a3a293

Let’s examine this method by taking the following steps: Take a very brief look at what a Decision Tree is. Define and examine …

A Simple Explanation of Information Gain and Entropy

https://victorzhou.com/blog/information-gain/

Information Gain = how much Entropy we removed, so. Gain = 1 − 0.39 = 0.61 \text{Gain} = 1 - 0.39 = \boxed{0.61} Gain = 1 − 0. 3 9 = 0. 6 1 This makes sense: higher Information Gain = more Entropy removed, which is what we want. In the perfect case, …

Information Gain and Entropy Explained | Data Science

https://www.humaneer.org/blog/data-science-information-gain-and-entropy-explained/

Information gain (IG) As already mentioned, information gain indicates how much information a particular variable or feature gives us about the final outcome. It can be found out by subtracting the entropy of a particular attribute inside the data set from the …