Sentence examples for an omission error from inspiring English sources
The phrase "an omission error" is correct and usable in written English
It refers to a mistake or error in which something is left out or not included. You can use this phrase in any context where you want to describe a mistake caused by something being omitted or left out. For example: - The report contained several omission errors, such as missing data and incomplete sections. - I realized there was an omission error in my essay when I read it aloud and noticed a missing paragraph. - The musician's performance was flawless except for one omission error in the final piece. - It's important to proofread your work to catch any spelling, grammar, or omission errors.
Fig. 1 Probability of answer seeking given that the response was an omission error.
Validation using Synthetic Aperture Radar (SAR) images and Chinese high-resolution satellite imagery demonstrated an omission error of 3.8% and a commission error below 1.0%.
However, it should be noted that the final SEGM always contains an omission error when obtained through comparison to a degree-360 truncated spherical harmonic expansion of EGM2008.
This occurred regardless of what their response was, including when they had been correct, had made a commission error, or had made an omission error.
The probability of a correct answer was 0.26 (SD = 0.15), the probability of a commission error was 0.20 (SD = 0.09), and the probability of an omission error was 0.54 (SD = 0.16).
Although most studies look only at TOT experiences when the person has made an omission error, TOT states sometimes occur even when people have made a commission error (they may be in what is sometimes called a 'blocked' state, and retrieve the blocker as an error) or even when they were correct (presumably if they had low confidence about their answer).
The test assesses four major outcomes: a) omission errors (failure to respond to targets; a measure of inattention); b) commission errors (responding erroneously to nontargets; a measure of impulsivity); c) response time for correct responses; and d) the standard deviation of these response times (response time variability; a measure of consistency of attention).
By assigning a 0% omission error, we ensured that all known populations were included in the predicted area.
This approach maintains a zero omission error (i.e., zero false negatives), thereby maintaining that each pixel predicted "present" has conditions at least as suitable as those where the species is known to occur [ 50].
To obtain a binary map, the threshold of the resulting models was determined as the minimum predicted value that included all records of each species, so that a 0% omission error (proportion of observed presences incorrectly predicted) was attained [ 81].
The results were compared with the MCD45A1 product, which had a slightly higher commission error (30.2%) and a considerably higher omission error (26.2%), indicating a high underestimation of the burned area.
