Python Data Science Essentials - Third Edition

SVM for classification

The implementations for SVM classification offered by scikit-learn are shown here:

Class	Purpose	Hyperparameters
sklearn.svm.SVC	The LIBSVM implementation for binary and multiclass linear and kernel classification	C, kernel, degree, and gamma
sklearn.svm.NuSVC	Same as for the .SVC version	nu, kernel, degree, and gamma
sklearn.svm.OneClassSVM	Unsupervised detection of outliers	nu, kernel, degree, and gamma
sklearn.svm.LinearSVC	Based on LIBLINEAR; it is a binary and multiclass linear classifier	Penalty, loss, and C

As an example for classification using SVM, we will use SVC with both a linear and an RBF kernel (RBF stands for Radial Basis Function, which is an effective nonlinear ...