| 摘要 |
<p>A method of evaluating performance of a computerized binary event classification system (30) comprises the steps of utilizing an unsupervised database (46) comprising a plurality of recorded data samples each relating to an event of a first kind alternatively a second kind, but wherein it needs not be known to which of the first kind or the second kind any data sample relates. For each sample in the database the system (30) is utilized to map the sample to a decision score (20), to yield a set of scores. The set of scores is modeled with a probabilistic parametric model having a first part being a probability distribution for scores obtained from data samples relating to events of the first kind and a second part being a probability distribution for scores obtained from data samples relating to events of the second kind. The parameters of the probabilistic parametric model are determined to produce a DET curve, to evaluate performance of the system (30), for example by determining estimates of false rejection and false acceptance rates.</p> |
