LIBSVMLearner

LIBSVM v2.89 is an integrated software for support vector classification. For a more detailed description - especially of the parameters - see the webpage.

Options

Type of SVM

Set type of SVM (default is C-SVM) C-SVC, nu-SVC, one-class SVM, epsilon-SVR, nu-SVR.

Kernel

Set type of kernel function (default is polynomial).

• linear: u'*v
• polynomial: (gamma*u'*v + coef0)^degree
• radial basis function: exp(-gamma*|u-v|^2)
• sigmoid: tanh(gamma*u'*v + coef0)

Degree

Set degree in kernel function.

Gamma

Set gamma in kernel function (a good value is 1/nrAttributes).

Coef0

Set coef0 in kernel function.

Cost

Set the parameter C of C-SVC, epsilon-SVR, and nu-SVR.

Nu

Set the parameter nu of nu-SVC, one-class SVM, and nu-SVR.

Loss-Epsilon

Set the epsilon in loss function of epsilon-SVR.

Cachesize

Set cache memory size in MB.

Epsilon

Set tolerance of termination criterion.

Shrinking

Whether to use the shrinking heuristics.

Probability estimates

Whether to train a SVC or SVR model for probability estimates.

Target column

The target column, can be nominal for classification or numerical for regression.

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Workflows

• 03. SVM_Son (SVR)KNIME Hub
• C-H bond functionalizationKNIME Hub
• DHPKNIME Hub
• Exercise 5_2-Wine QualityKNIME Hub
• Exercise 6_2 - Student Performance AnalysisKNIME Hub
• Show all 14 workflows

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