Sentence examples for performance of the classification model from inspiring English sources

The average performance across the 'K' iterations is considered as the performance of the classification model.

The performance of the classification model was evaluated using sensitivity (Sn), the true positive rate, and specificity (Sp), the true negative rate.

These indices were used to better estimate performance of the classification model in the presence of a dataset with an unequal number of molecules in each class.

If the valuable information from auxiliary data could be successfully transferred to the target data, the performance of the classification model would be improved.

This is repeated for all the observations in the data set and the average performance across those iterations is considered as the performance of the classification model.

As the performance of the classification model is highly dependent on the extracted features, features obtained using EWT from EEG signals are not suitable to produce an efficient classification model due to the problem mentioned above.

Results Best performance of the classification models was carried out by decision trees, in all runs.

Performance of the classification models is then evaluated based on five different vector sets (four subsets and one complete set, Figure 6).

Whether these changes in imaging protocol can influence the diagnostic performance of the classification models is rarely reported.

To assess the performance of the classification models, we used the accuracy (ACC), sensitivity (SN, also called recall), specificity (SP), and F-measure (F1).

Tables 5, 6 and 7 show the overall performance of the classification models on each of the topics, using the chosen threshold on the training and test sets.