Sentence examples for measuring the classification from inspiring English sources

In this paper, a novel approach is proposed to learn the kernel parameters in kernel minimum distance (KMD) classifier, where the values of the kernel parameters are computed through optimizing an objective function designed for measuring the classification reliability of KMD.

According to Bradley [36], AUC is the best criteria for measuring the classification performance of a binary classifier such as logistic regression.

We use these as labels when measuring the classification performance.

The kappa coefficient measuring the classification agreement across the signatures is estimated to be 0.67.

Performance on the training or test images was tested by presenting an image to VisNet and then measuring the classification produced by the pattern associator.

In addition, we made BruxChecker for each person and measured the classification of occlusal contact pattern.

The standard precision rate P, recall rate R, and F1 score are used to measure the classification performance.

Then, three different parameters, True Negative Rate (TNR), Classification Accuracy (CA), and Average Classification Accuracy (ACA), are calculated according to Eqs. (13)–(15) to measure the classification efficiency.

The last one is used as query set (i.e., test set) to measure the classification performance of the neural net.Training data set is obtained from TSIS 5.1 simulator.

This may not be noticeable using a ROC curve that only measures the classification accuracy.

To evaluate binding site enrichment, we measured the classification accuracy of verified TRANSFAC binding motifs associated with the TF [3].