classyfire (version 0.1-2)

getAcc: Get the accuracies of a classification ensemble

Description

The getAcc function returns the test and train accuracies for all the classifiers within a classification ensemble as generated by cfBuild.

Usage

getAcc(ensObj)

Arguments

ensObj

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

Value

The getAcc function returns a list with two named (Test and Train) vectors, equal to the overall test accuracies (%CC) and overall train accuracies of the classifiers within the ensemble. The attributes of the list can be accessed by executing the attributes command.

See Also

getAvgAcc

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 getAcc function
# attributes(getAcc(ens))
# 
# # Get both the vectors of test and train accuracies from the classifiers in the ensemble
# getAcc(ens)
# 
# # Get the vector of test accuracies from the classifiers in the ensemble
# getAcc(ens)$Test
# 
# # Get the vector of train accuracies from the classifiers in the ensemble
# getAcc(ens)$Train
# ## End(Not run)