SVM

Support Vector Machine

Support Vector Machine (SVM) #

A Support Vector Machine (SVM) is a supervised machine learning algorithm used for:

  • Classification (most common)
  • Regression (SVR – Support Vector Regression)

Find the decision boundary that separates classes with the maximum margin.

A Support Vector Machine is a supervised learning algorithm that finds an optimal hyperplane by maximising the margin between classes, using support vectors and kernel functions to handle non-linear data.