Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
the input space as: x ∈ ℝ^D Here, ℝ^D represents a vector space with D dimensions, where x is a D-dimensional feature vector. To enable SVM to handle complex relationships and nonlinear separations, we apply a mapping function to each input feature vector x. This mapping function transforms the