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DET (version 2.0.2)

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

2.0.2

License

GPL-2

Maintainer

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

Last Published

March 29th, 2020

Functions in DET (2.0.2)

detc.CI

DET Curve calculation with Confidence Interval
speaker

Speaker Recognition System (Voxceleb verification test)
ovarianCancer

Ovarian Cancer (NCI PBSII Data)
printDET

DET Curve information
detc

DET Curve calculation