printDET

<p>list of DET curves originated by detc() or detc.CI() functions</p>

dets

<p>From a DET curve list (generated with detc() or detc.CI()), the function shows the different atributtes of each curve with a little description.</p>


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.

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

Representation of DET Curve with Confidence Intervals

printDET: DET Curve information

Description

Usage

Arguments