Multi-class classification in libsvm [closed]

According to the official libsvm documentation (Section 7): LIBSVM implements the “one-against-one” approach for multi-class classification. If k is the number of classes, then k(k-1)/2 classifiers are constructed and each one trains data from two classes. In classification we use a voting strategy: each binary classification is considered to be a voting where votes can … Read more

Under what parameters are SVC and LinearSVC in scikit-learn equivalent?

In mathematical sense you need to set: SVC(kernel=”linear”, **kwargs) # by default it uses RBF kernel and LinearSVC(loss=”hinge”, **kwargs) # by default it uses squared hinge loss Another element, which cannot be easily fixed is increasing intercept_scaling in LinearSVC, as in this implementation bias is regularized (which is not true in SVC nor should be … Read more