Steven Sanderson goes right up to the edge:
Support Vector Machines (SVM) are a powerful tool in the world of machine learning and classification. They excel in finding the optimal decision boundary between different classes of data. However, understanding and visualizing these decision boundaries can be a bit tricky. In this blog post, we’ll explore how to plot an SVM object using the
e1071library in R, making it easier to grasp the magic happening under the hood.
Read on to see how you can perform this analysis as well.