auc-methods: Methods for Function 'auc' in Package 'HandTill2001'

In nkola123/kola: Multiple Class Area under ROC Curve

Description

Calculate area under curve of the receiver operating characteristic for two or more prediction classes.

Details

Depending on whether object is of class "bincap" or of class "multcap", a two class or multiple class AUC is calculated.

Value

An object of class "numeric".

Methods

signature(object = "bincap")

calculates the AUC statistic for a two class response following Hand and Till (2001), Eq. (3).

signature(object = "multcap")

calculates the AUC statistic for a multiple class response following Hand and Till (2001), Eq. (7).

References

David J. Hand and Robert J. Till (2001). A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems. Machine Learning 45(2), p. 171–186. DOI: 10.1023/A:1010920819831.

See Also

"class?bincap", "class?multcap"

Examples

library(HandTill2001)
data(ht01.twoclass)
data(ht01.multipleclass)
message(" == AUC for a two class response")
## Not run: 
message(" == == ROCR result:")
library(ROCR)
performance(prediction(labels=ht01.twoclass$observed
                       , predictions=ht01.twoclass$predicted
                       )
            , measure = "auc")

## End(Not run)
message(" == == HandTill2001 result:")
auc(bincap(
	    response = as.factor(ht01.twoclass$observed)
	    , predicted = ht01.twoclass$predicted
	    , true = "1"
	    ))
message(" == AUC for a multiple class response")
auc(multcap(
	     response = ht01.multipleclass$observed
	     , predicted = as.matrix(ht01.multipleclass[, levels(ht01.multipleclass$observed)])
	     ))

nkola123/kola documentation built on May 23, 2019, 9:05 p.m.