What Does SVM Stand For?

SVM stands for Support Vector Machine

Support Vector Machine (SVM) is a supervised machine learning algorithm commonly used for classification and regression tasks. It works by finding the optimal hyperplane that best separates data points of different classes in a high-dimensional space. SVM aims to maximize the margin between the closest data points, known as support vectors, and the hyperplane, enhancing the model's predictive accuracy. With the ability to handle both linear and non-linear cases through the use of kernel functions, SVM is widely employed in applications such as text classification, image recognition, and bioinformatics.

Other Meanings for SVM