Sentence examples for by the classification accuracy from inspiring English sources

The individual class probability estimates may also be weighted by the classification accuracy of each single tree and the class prior probability.

On the other hand, consideration of magnitude components can increase classification accuracy as far as noise level is not extremely high as observed by the classification accuracy of CLBP _ S 8, 1 ri _ M 8, 1 ri and CLBP _ S 8, 1 riu 2 _ M 8, 1 riu 2 at noise levels of up to 15-dB SNR.

The classification performance is determined by the classification accuracy on training or testing samples.

4) Test the current training model by the classification accuracy, correlation test, etc. 5) Repeat steps 1) to 41010 times and compare results.

The fitness of a gene set is defined by the classification accuracy of the SVM using that set of genes as features, and the size of the set.

Here, the set of features is optimized by the GA guided by the classification accuracy as the main part of the fitness function, computed using the SVM with Gaussian kernel; the size of the feature set also has a minor influence on the fitness function, since we aimed at small sets of best features.

Furthermore, the above relationship between the hiPSCs and the parental SCs was verified by estimating the classification accuracy by leave-one-out cross-validation (LOOCV) on the nearest-neighbor classifier, based on Pearson's correlation distance (see additional file 5: Cross validation of cell classification).

We examine the accuracy and robustness of our technique by comparing the classification accuracy of our technique, a maximum entropy-based aggregation technique, and four classification methods on a real-world, two-group data-set concerned with bank failure prediction.

Beside, it provides an easy approach to evaluate the EN system performance in terms of data identification and execution time by computing the classification accuracy using a 10-fold cross validation technique.

The performance in music genre and mood classification is assessed by reporting the classification accuracy.

The optimal τ is selected by maximizing the classification accuracy on 3 unseen points.