getAcc function returns the test and train accuracies for all the classifiers within a classification ensemble as generated by
The classification ensemble (in the form of an R list) as generated by
getAcc function returns a list with two named (
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.
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## 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)
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