Support Vector Machine, Svm, Svm Algorithm, Svm Classifier, Machine Learning.
kernel is a good choice. In cases where the data is not linearly separable, a non-linear kernel should be considered to capture complex decision boundaries in a higher-dimensional feature space. Additionally, examine whether transforming the input features can make the data linearly separable.