Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
store the transformed feature vectors explicitly, which can be computationally expensive, especially in high-dimensional spaces. Commonly used kernel functions include: Linear Kernel: K(x, x’) = x ⋅ x’ Represents a linear relationship and is suitable for linearly separable data. 2. Polynomial