From two vectors of false positive and false negative rates which define the points of the curve, the function computes the Equal Error Rate (EER).

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.

James Curran

Representation of DET Curve with Confidence Intervals

García-Ródenas, Álvaro 

Franco, Manuel 

Vivo, Juana-María 

Fernández-Breis, Jesualdo T. 

Font, Roberto 

Curran, James 

EER function

<dl><dt>fpr</dt>
<dd>A numeric vector representing the False Positive Rates.</dd>
<dt>fnr</dt>
<dd>A numeric vector representing the False Negative Rates.</dd></dl>

Arguments

Equal Error Rate computation — EER

<dl>

<dt>fpr</dt>
<dd>A numeric vector representing the False Positive Rates.</dd>


<dt>fnr</dt>
<dd>A numeric vector representing the False Negative Rates.</dd>

</dl>

EER: Equal Error Rate computation

Description

Usage

Value

Arguments