Sentence examples for a maximum accuracy of from inspiring English sources

The classification results of this dataset are described in Table 7 having a maximum accuracy of 98.80%.

Table 5 described the results of the proposed algorithm using CASIA dataset having a maximum accuracy of 98.70%, and fast positive-region reduction (FPR) is 0.01.

The inclusion of Spanish data increased the results to a great extent, obtaining a maximum accuracy of 63.29% with AM_cz&ES_2.

The results are depicted in Table 12 having a maximum accuracy of 99.40% and FNR 0.60, which is confirmed by their confusion matrix given in Table 13.

As expected (see Tables 4 and 5), semi-quantification performance was superior for the PPMI dataset as compared to the local clinical database, reaching a maximum accuracy of 0.95 for PPMI and 0.87 for the local data.

Beginning at the 700-ms temporal window, the linear SVM provided significantly better performance than any other kernel type, and reached a maximum accuracy of 94.5 % (SD = 0.064 %) when the full post-stimulus epoch (900 ms) was used.

In the light of the graphic, this manuscript technique reaches a maximum accuracy rate of 90.67% (88% sensitivity and 93.33% specificity) for both PCA and PLS plus LMNN transformation and when used LMNN-RECT, accuracy 87.33% (82.67% sensitivity and 92% specificity), thus outperforming the PCA (Acc = 85.33%) or baseline VAF (Acc = 81.18%) techniques.

The resulting cut points for the CSF biomarkers are similar to those reported by Shaw et al. (2009), which were derived using a maximum accuracy classification of autopsy confirmed Alzheimer's disease versus healthy controls.

This cut point was chosen according to the results of Shaw et al. (2009) who determined cut points using a maximum accuracy classification of autopsy confirmed patients with Alzheimer's disease and cognitively normal subjects; (iii) APOE-positive (APOE+), subjects with one or more APOE4 alleles; and (iv) amyloid-positive APOE-positive (amyloid+APOE+), subjects who are both amyloid+ and APOE+.

A similar maximum accuracy of genomic selection was suggested by the result of Daetwyler [ 18].

It reports a very high maximum accuracy of more than 85%% (AUC 0.9).