Sentence examples for mean classification of from inspiring English sources

Finally, to detect any possibility of facial inversion producing features similar to those of Williams Beuren syndrome, we also tested closest mean classification of normatively inverted controls in a control-Williams Beuren syndrome control-Williams Beuren

A fuzzy k-means classification of these three variables produced four potential management classes.

K-means classification of average methylation values computed over that set identified 6, 10, and 7 cell lines as CIMP+, CIMPi, and CIMP−, respectively.

K-means classification of all the particles into 200 classes using SPIDER (Supplementary Figure 3) confirmed that the ISAC averages are a good representation of the entire particle population.

For increasing noise levels, it is expected that the performance of all descriptors level out to the mean accuracy of a random classification, i.e., a mean classification accuracy of 1/number of classes.

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 d for the 3-1 quadruplets (N = 32) was 9.17 with a mean classification rate of 90% and a mean Δ d of 1.14 (P < 0.02; dashed curve in Fig. 6 C ), whereas the mean d for the 2-2 quadruplets (N = 19) was 8.98 with a mean classification rate of 92% and a mean Δ d of 2.62, significantly larger than zero (P < 10−3; solid black curve in Fig. 6 C ).

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

We evaluate the model performance based on the mean classification accuracy of 100 independent 10-fold cross-validations.

For square patches with a mean classification accuracy of 75%, the grid pixel area was 11 times smaller than patch size.

In particular, it reaches a mean classification accuracy of 96% for six intestinal motility events, outperforming the other classifiers by a large margin (a 14% relative performance increase).