getAvgAcc: Get the average accuracies of a classification ensemble

In classyfire: Robust multivariate classification using highly optimised SVM ensembles

Description

The avgTestAcc function returns the average test accuracy (%CC) and average train accuracy of an ensemble of classifiers as generated by the function cfBuild.

Usage

getAvgAcc(ensObj)

Arguments

ensObj

The classification ensemble (in the form of an R list) as generated by cfBuild

Value

The avgTestAcc function returns a list with two named (Test and Train) numerical values, equal to the average overall test accuracy (%CC) and the average overall train accuracy of the ensemble. The attributes of the list can be accessed by executing the attributes command.

See Also

getAcc

Examples

## Not run: 
data(iris)

irisClass <- iris[,5]
irisData  <- iris[,-5]

ens <- cfBuild(inputData = irisData, inputClass = irisClass, bootNum = 100, 
               ensNum = 100, parallel = TRUE, cpus = 4, type = "SOCK")

# Get the attributes provided by the getAvgAcc function
attributes(getAvgAcc(ens))

# Get the average test and train accuracies within the ensemble
getAvgAcc(ens)

# Get the average test accuracy 
getAvgAcc(ens)$Test

# Get the average train accuracy
getAvgAcc(ens)$Train

## End(Not run)

classyfire documentation built on May 29, 2017, 11:05 p.m.