Sentence examples for mean classification rate from inspiring English sources

Figure 10 Mean classification rate versus angular range.

The performance metrics consisted of the mean classification rate, the false accept rate, and the false recognition rate (FRR).

Despite very limited opportunity for tuning the algorithms, the mean classification rate obtained on the FERET database was 92.5% (an EER of 7.5%), demonstrating that the presented algorithm is scalable to relatively large databases.

In the first segment, we made use of the BU-3DFE database and multi-class SMV classifier; we achieved a mean classification rate of 92.2%, showing a consistence improved performance in all the expression classes as compared to the some related studies.

The performance of the final algorithm was pleasing with a mean classification rate of 7.3 clinical narratives per second.

For the 3-0 triplets, we obtained a mean d of 4.50 (mean classification rate of 81%), whereas the mean d for 2-1 triplets was 6.53 (classification rate of 87%).

The mean classification rates for D2 antagonists were obtained to 60% due to insufficient selective D2 antagonists.

Hence, the colored bars show the minimum, maximum, and mean classification rates for all DC methods among the different DC methods used.

The differently colored bars show the minimum, maximum, and mean classification rates for all DC methods among the different interpolation methods used.

Finally, the average classification rate is the mean of the success rate in classification.

Several neural network architectures are examined and compared by run time, minimum mean square error achieved (MSE), mean correct classification rate, precision, recall, and specificity.