Sentence examples for mean identification accuracy from inspiring English sources

If the classifier is based on only the three semantic factors (and the lower-level word length factor is not considered), the word mean identification accuracy was.676 (based on 60 voxels distributed among the locations of the three semantic factors), well above the p<.001 chance level and higher that any of the factors considered alone.

All other aspects of this experiment, including design, stimuli, and apparatus, were identical to those of Experiment 1. Mean identification accuracy for words and pseudowords displayed at foveal and extrafoveal locations is shown in Figure 2 (bars indicate the 95% confidence interval for each mean based on the within subjects mean square error [78]).

The manipulation factor alone provided a mean accuracy of.632 (based on 20 voxels); the shelter factor alone led to a mean identification accuracy of.655 (using 25 voxels); the eating factor alone provided.593 accuracy (15 voxels); and word length provided.663 accuracy (20 voxels).

Mean identification accuracy ranged from 46.67% to 87.5%.

Although based on portions of individual specimens, the mean identification accuracy of the nine analysts investigated here supports this view (46.67 87.5%; Fig. 2B).

There is a negative relationship between mean identification accuracy and the proportion of duplicate image pairs split by misidentification (Fig. 4C).

The mean across-participant identification accuracy, averaged across the 11 participants, was.720, as shown by the gray curve in Figure 4.

Therefore, the identification result showed that the modified K-means cluster algorithm has high identification accuracy and improve practicability.

This means that the selection of block size affects the identification accuracy.

As recommendations from the study, mean fusion is found to yield overall best performance in terms of speaker identification accuracy (SIA) with noisy speech, whereas linear weighted sum fusion is overall best for original database recordings.

Then, the identification accuracy can be evaluated using standard information retrieval metrics, the mean of average precision (MAP)[5], Mean averaged reciprocal rank (MaRR)[40], total number of covers identified in top 10 (TOP10), and mean rank (MR) of first correctly identified cover.