Sentence examples for proportion of errors in the from inspiring English sources

On the other hand, it is of interest how robust the procedure is against the proportion of errors in the reference partition for the dataset under study.

As expected, the medians of the MRI values remained stable with an increasing proportion of deleted sequences, whereas their range linearly increased (Figs. 5, 15 in supporting file S4); also, the medians of the MRI values linearly decreased with an increasing proportion of errors in the reference partition, whereas their range remained stable (Figs. 10, 20 in supporting file S4).

Proportion of errors in the congruent, incongruent, and control condition are presented in Table 2.

We have shown that orthology assignment and the detection of important genetic events are severely impacted by the high proportion of errors in the initial set of protein sequences, even in high coverage genomes.

Other than the intended movement, the only target category that ever occurs at a level above chance is the one-step errors, and the proportion of errors in this category begins declining at 15% of the movement duration (roughly 50 ms).

By 10% of the movement duration, roughly 37 ms into the movement (given the average movement time of 369 ms), the only error category that is above chance is the one-step errors, and the proportion of errors in this category has begun declining by 20% of the movement duration.

An ideal neuropsychological test would have a high correlation with repeated measurements (i.e., test-retest reliability), indicating a low proportion of error in the test score.

The proportion of errors in each of the resulting categories has been adjusted to reflect the number of opportunities for a trial to be classified into that category.

Such high proportion of duplications is not the result of errors in the annotation or assembly of the genomes.

The fact that internal predictive validity for African-Americans and Whites became almost similar at T2 (Table  4) may indicate that the relative proportion of error in prediction for African-Americans at T1 may relate to learning effect (processing and evaluating the full-profile choice).

From the analysis, we can conclude the large proportion of error lied in the classification for the most frequent classes, e.g. around 500 ones with the frequency higher than 2000, and gene named entity recognition/normalization. Therefore, these two steps should be our research focus in the future.