bord_dist: Distance to SVM decision boundary

In noisemodel: Noise Models for Classification Datasets

Distance to SVM decision boundary

Description

Calculation of the distance of each sample to the SVM decision boundary in a classification problem.

Usage

bord_dist(x, y, krn = "linear")

Arguments

x	a data frame of input attributes.
y	a factor vector with the output class of each sample.
krn	a character with the kernel of SVM -see e1071::svm (default: "linear").

Value

A vector of length nrow(x) with the distance of each sample to the decision boundary.

noisemodel documentation built on Oct. 17, 2022, 9:05 a.m.