rocsvm.intercept: Finding an intercept fixed sensitivity or specificity for...

In rocsvm.path: The Entire Solution Paths for ROC-SVM

Description

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

Usage

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.

Author(s)

Seung Jun Shin, Do Hyun Kim

See Also

rocsvm.path

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) 

rocsvm.path documentation built on May 2, 2019, 10:57 a.m.