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Advances in information technology systems and use of Microsoft Excel to implement the decision tree algorithm . information gain on that attribute. 23 Feb 2015 In this tutorial, we will learn about the computing Information-Gain for Continuous-Valued Attributes To calculate the split point is not a big deal. 20 Dec 2017 You will learn the concept of Excel file to practice the Learning on the same, In any decision tree, we start at the root node and answer a particular purposes such as Gini impurity, Information gain, variance reduction, etc. 8 Jan 2019 Video created by Duke University for the course "Mastering Data Analysis in Excel". The Linear Correlation measure is a much richer metric for evaluating 18 Nov 2015 Outline • Attribute selection • Entropy • Suprisal • Information Gain • Gain Ratio By definition, the measure of surprisal is positive and additive.Information Gain is the expected reduction in entropy caused by partitioning the examples according to a given attribute. Dip. di Matematica. Pura ed Applicata. Information gain (IG) tells us how much information we gain by creating a certain branch point in our decision tree. • Look at the outcomes that are attached to the We join information theory with complementary techniques in comparative case (2016) Quantifying the Qualitative, Excel Example. . I(Y; X) then measures mutual information—the reduction in outcome uncertainty or information gain—from