An easy and straightforward guide to machine learning and classification with decision trees. Decision trees are among the most fundamental algorithms in supervised machine learning, used to handle both regression and classification tasks. In a nutshell, you can think of it as a glorified collection of if-else statements, but more on that later. Today you’ll learn the basic theory behind the decision trees algorithm and also how to implement the algorithm in R. The article is structured as follows: Introduction to Decision Trees Dataset Loading and Preparation Modeling Making Predictions Conclusion Introduction to Decision Trees Decision trees are intuitive. All they do […]
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