Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
boundaries. The choice of kernel depends on the data characteristics and the desired complexity of the decision boundary. The kernel trick allows SVM to efficiently handle non-linearly separable data by implicitly mapping it into a higher-dimensional feature space, enabling accurate classification