CrossValidateSVM: Cross validates SVM with instance space coordinates.

In sevvandi/outselect: Algorithm selection for unsupervised outlier detection

Description

Cross validates SVM with instance space coordinates.

Usage

CrossValidateSVM(d = 1, n = 5)

Arguments

d	If d=1 then we take the Min_Max performance values, if d=2 then performance values from all normalization methods are considered. Input values for d are only 1,2.
n	The number of folds in cross validation.

Value

A list with the following components:

def_acc

The default accuracy we get if we predict the method is not good for all instances. This is the percentage of the majority class.

results

The n-fold cross valdation results.

mean_acc

The mean n-fold cross valdation results.

d

Which instance space is cross validated. If d=1, then it is MIN_MAX normalization instance space, if d=2 then all normalization methods are used.

coordinates

The instance space coordinates.

Examples

## Not run:  out <- CrossValidateSVM(1,5) 

sevvandi/outselect documentation built on June 1, 2019, 3:58 a.m.