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DET (version 3.0.0)

Representation of DET Curve with Confidence Intervals

Description

Builds both ROC (Receiver Operating Characteristic) and DET (Detection Error Tradeoff) curves from a set of predictors, which are the results of a binary classification system. The curves give a general vision of the performance of the classifier, and are useful for comparing performance of different systems.

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Version

Install

install.packages('DET')

Monthly Downloads

97

Version

3.0.0

License

GPL-2

Maintainer

Garc<c3><ad>a-R<c3><b3>denas, <c3><81>lvaro

Last Published

April 1st, 2021

Functions in DET (3.0.0)

detc.ci

DET Curve calculation with CI
EER

Equal Error Rate computation
pointsEER

EER Plot
ovarianCancer

Data on Ovarian Cancer (NCI PBSII Data)
detc

DET Curve calculation
minDcf

Minimum of the Detection Cost Function computation
plot.DETs

DET Curves plot
plotROCs

ROC Curves plot
plot.DET

DET Curve plot
plotROC

ROC Curve plot
show.DETs

Show the structure of a DET object
speaker

Data on a Speaker Recognition System (Voxceleb verification test)