Sentence examples for peak classification accuracy from inspiring English sources

Peak classification accuracy over the previously defined subsets having different numbers of voxels, e.g., 10, 25,.., 400, was reported.

Similar to the RFE approach, we subsequently selected the voxel set with the peak classification accuracy for further analysis.

(C ) Peak classification accuracy in the 200 ms and 400 ms rows of A and B. By 2-way ANOVA, there was no main effect of 200 ms vs 400 ms or of Sd vs outcome, but there was a significant interaction (p = 0.04).

Finally, to rule out any peculiarities in the SVM algorithm being responsible for two distinct peaks in classification accuracy, we also repeated the same analysis at the group level with a variety of nearest-mean classifiers and found the same pattern.

Interestingly, preselecting protein peaks slightly increased the classification accuracy; using the 50 (day five post infection) or 100 (day 19 post infection) most significant differently expressed proteins resulted in the highest number of correctly classified animals.

Normally, with the recursive addition for the next feature, the training accuracy will increase and reach a peak classification performance at some point, and then may maintain it with subsequent feature additions; but after that the training accuracy may decrease.

Again, using a preselection of the most significantly different protein peaks generally led to comparable or even better classification accuracy, similarly as described for the classification of infected versus non-infected animals.

In the classification of Mass Spectrometry (MS) proteomics data, peak detection, feature selection, and learning classifiers are critical to classification accuracy.

For each comparison the number of significantly different protein peaks in their profiles was determined as well as the classification accuracy.

In the sera, a triplet of 3 peaks and 2 biomarkers were all discovered to have 100% classification accuracy rate to differentiate the DM and control groups at all time intervals.

Peak Frequency has been used along with other features to achieve high classification accuracy.