About this document
SVM by sri is a document available to read on EtoBox.
The document outlines the process of using linear Support Vector Machines (SVM) to classify data points into two classes based on two features. It details steps for plotting points, finding the optimal separating hyperplane, identifying support vectors, computing margin width, and writing the decision function. Specific examples include datasets for COVID-19 symptom classification and detecting cyber attacks, with calculations provided for each case.
- Author
- sri
- Language
- EN