minDcf

A single numeric value into the (0, 1) intervalrepresenting the prior probability of positive class.

A single numeric value representing the cost of False Positives.

A single numeric value representing the cost of False Negatives.

From a 'DET' object, the function computes the minimum value of the Detection Cost Function (minDCF).


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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Representation of DET Curve with Confidence Intervals

minDcf: Minimum of the Detection Cost Function computation

Description

Usage

Arguments

Value