rocsvm.intercept function

Finding an intercept fixed sensitivity or specificity for ROC-SVM

Computes an intercept at a specific sensitivity or specificity level from the ROC-SVM model.

rocsvm.intercept(obj, lambda = 1, sensitivity = 0.5, specificity = 0.5)

Arguments

• obj: The rocsvm.path object
• lambda: The regularization parameter that users want in ROC-SVM model.
• sensitivity: Sensitivity in ROC curve, which means True Positive Rate (TPR).
• specificity: Specificity in ROC curve, which means True Negative Rate (TNR) = 1-FPR.

Examples

# library(rocsvm.path)
# The 'obj' comes from an example description of rocsvm.path()

rocsvm.intercept(obj, lambda = 1, sensitivity = 0.9, specificity = 0.1)

See Also

rocsvm.path

Author(s)

Seung Jun Shin, Do Hyun Kim