Your English writing platform
Discover LudwigExact(11)
Why might "false alarm" errors be more common when judging men's sexual orientation?
At high target prevalence, our observers made more false alarm errors and fewer misses.
The distribution of the miss and the false alarm errors from all the systems is presented in Figure 1.
At low prevalence, miss error rates are more than double the high prevalence miss error rate while false alarm errors are somewhat lower.
We also point out that correlation properties are estimated in the raw form of power measurements instead of frequency bins occupancy, thus, remaining robust to the employed γ threshold (and as a result, to the miss detection and false alarm errors) which could jeopardize the accuracy of the obtained results.
The NIST metric consists of a single error score which takes into account substitution errors (mislabeling an active voice, E subs ), miss errors (when a voice is truly active but results in no transcript, E miss ), and false alarm errors (when an active voice is reported without any underlying source, E fa ).
Similar(49)
The article finishes with applications to zero-bit watermarking (probability of false alarm, error exponent), and to probabilistic fingerprinting codes (probability of wrongly accusing a given user, code length estimation).
In order to evaluate the performance of the discrimination between normal and pathological subjects, detection error tradeoff (DET) and equal error rate (EER), which is the rate at which both missed detection and false alarm error are equal, are used.
The main weakness of the abovementioned approaches is that both channel occupancy and duty cycle data are sensitive to the employed γ threshold and, thus, prone to miss detection and false-alarm errors jeopardizing the accuracy of the obtained results.
We hypothesized that OCD patients along with slower switching performance, will have difficulties in inhibiting previously adequate switching responses, making more false alarm type errors.
Firstly, we review the main evaluation metric (DER) and discuss the distributions of its three components (misses, false alarms, speaker errors).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com