L1 Regularization, L2 Regularization, Pruning, Support Vector Machine.
used to separate the data. Linear SVM is the simplest, while radial basis function (RBF) or polynomial can capture more complex relationships. from sklearn.svm import SVC svm = SVC(C=1, kernel='linear') svm.fit(X_train, y_train) Pruning in Random Forest: Pruning a Random Forest involves reducing