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anova rbf for support vector machines

Usage

svm_anova_rbf(
  mode = "unknown",
  engine = "kernlab",
  cost = NULL,
  anova_rbf_sigma = NULL,
  degree = NULL,
  margin = NULL
)

Arguments

mode

regression or classification

engine

kernlab ksvm

cost

A positive number for the cost of predicting a sample within or on the wrong side of the margin

anova_rbf_sigma

sigma parameter for anova rbf

degree

degree parameter for anova rbf

margin

A positive number for the epsilon in the SVM insensitive loss function (regression only)