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What is the difference between c SVM and nu SVM?
Q: What is the difference between nu-SVC and C-SVC? Basically they are the same thing, but with different parameters. The range of C is from zero to infinity but nu is always between [0,1]. A nice property of nu is that it is related to the ratio of support vectors and the ratio of the training error.
What is c classification in SVM?
svm can be used as a classification machine, as a regression machine, or for novelty detection. Depending of whether y is a factor or not, the default setting for type is C-classification or eps-regression , respectively, but may be overwritten by setting an explicit value. one-classification (for novelty detection)
What is nu SVC?
Nu-Support Vector Classification. Similar to SVC but uses a parameter to control the number of support vectors. An upper bound on the fraction of margin errors (see User Guide) and a lower bound of the fraction of support vectors.
What is Nu in SVM class?
According to this link, nu specifies the nu parameter for the one-class SVM model. The nu parameter is both a lower bound for the number of samples that are support vectors and an upper bound for the number of samples that are on the wrong side of the hyperplane. The default is 0.1.
What are the differences between SVC, nusvc, and linearsvc?
Please shed some light. In scikit SVC and nuSVC are mathematically equivalent with both methods based on the library libsvm. The main difference is that SVC uses the parameter C while nuSVC uses the parameter nu. LinearSVC is based on the library liblinear.
What’s the difference between c SVM and nu SVM?
The parameter C in the ordinary SVM formulation is replaced by a parameter nu which is bounded by 0 and 1. Earlier the parameter C could have taken any positive value, thus this additional bound is beneficial in implementation.
What’s the difference between SVC and LIBSVM version?
I’m a bit confused about what’s the difference between SVC and libsvm versions, by now I guess the difference is that SVC is the support vector machine algorithm fot the multiclass problem and libsvm is for the binary class problem. Could anybody help me to understad the difference between this?.
What’s the difference between SVC and SVM in scikit-learn?
The SVM module (SVC, NuSVC, etc) is a wrapper around the libsvm library and supports different kernels while LinearSVC is based on liblinear and only supports a linear kernel. So: