L1 Regularization, L2 Regularization, Pruning, Support Vector Machine.
complexity in SVM: In SVM, one can control the model’s complexity using parameters: C: Regularization parameter. A smaller C creates a wider margin, which might misclassify more points. A larger C aims to classify all points correctly by choosing a smaller margin. kernel: The type of hyperplane