Sentence examples for measure the classification from inspiring English sources

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.

We adopt both 'sensitivity' and 'specificity' as evaluation metrics to measure the classification performance.

To measure the classification error as a function of tree size, 10-fold cross-validation experiments were performed.

To test whether this is true, we combine pairs of pathways and measure the classification accuracy using the influenza data.

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

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

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].

Especially in bird 499 (Fig. 1, Table 3) in which seven different note types were measured the classification for three of these note types remained around chance level, whereas in the other three birds always one note type appeared to be difficult to assign to the right group.