Sentence examples for false reject rate from inspiring English sources
EER is defined as the point that false reject rate (FRR) and false accept rate (FAR) have the same value.
In high security applications, the extremely low false accept rate (FAR) and false reject rate (FRR) are desired at the same time, which is called the double-low problem [13].
EER is defined as the rate when both false acceptance rate (FAR) and false reject rate (FRR) are equal: the lower EER, the more accurate the system is considered to be.
The plotsimensiofs, 10 and 20, are tested in our experiments.
The CBA approaches have been reported with algorithm challenges like False Accept Rate (FAR), False Reject Rate (FRR), Equal Error Rate (ERR), Failure to Enrol Rate (FER) and Failure to Capture Rate (FCR) [15].
Table 8 shows the corresponding FAR1000 values (false reject rates when the FAR =10−3).
With regard to the performance evaluation, through the review, we found four main measures: FAR and FRR: the false acceptance rate (FAR) measures the percentage of times that an intruder is erroneously accepted as being legitimate and the false rejection rate (FRR) measures the percentage of times that a legitimate user is wrongly rejected [40].
Similarly, the false-positive rate is the fraction of times we falsely reject the null hypothesis.
A largely used concept of error control in such multiple testing is the expected proportion of falsely rejected hypotheses, or False Discovery Rate (FDR).
For additional tests we calculated, using false discovery rate (FDR) theory (Benjamini and Hochberg 2000), that we would expect 0.85, or roughly between 0 and 1, of these tests to falsely reject the null hypothesis (0.05*17 = 0.85).
