Least Squares Support Vector Machine

method = 'lssvmLinear'

Type: Classification

No Tuning Parameters

Least Squares Support Vector Machine with Polynomial Kernel

method = 'lssvmPoly'

Type: Classification

Tuning Parameters: degree (Polynomial Degree), scale (Scale)

Least Squares Support Vector Machine with Radial Basis Function Kernel

method = 'lssvmRadial'

Type: Classification

Tuning Parameters: sigma (Sigma)

Support Vector Machines with Class Weights

method = 'svmRadialWeights'

Type: Classification

Tuning Parameters: sigma (Sigma), C (Cost), Weight (Weight)

Support Vector Machines with Linear Kernel

method = 'svmLinear'

Type: Regression, Classification

Tuning Parameters: C (Cost)

Support Vector Machines with Polynomial Kernel

method = 'svmPoly'

Type: Regression, Classification

Tuning Parameters: degree (Polynomial Degree), scale (Cost), C (Scale)

Support Vector Machines with Radial Basis Function Kernel

method = 'svmRadial'

Type: Regression, Classification

Tuning Parameters: sigma (Sigma), C (Cost)

Support Vector Machines with Radial Basis Function Kernel

method = 'svmRadialCost'

Type: Regression, Classification

Tuning Parameters: C (Cost)