Sentence examples for precision metrics from inspiring English sources

The improvement in the quality of the resulting process models is evaluated on synthetic logs from benchmark models of increasing complexity on both behavioral and structural recall and precision metrics.

Classification Accuracy (CA), Area Under Curve (AUC), Sensitivity, Specificity, F-measure, Gmean and Precision metrics are used for a statistical performance comparison, and a test based on 2-fold cross validation method was realized on five medical datasets.

The results show a trade-off between precision and recall metrics for the models, with the F1-score, accuracy and precision metrics obtaining visually similar distributions.

To calculate the values of the recall and precision metrics, it was considered the amount of concern correctly identified and classified by each participant, individually.

To calculate the values of the recall and precision metrics, it considered the amount of concern correctly identified and classified by each participant, individually.

However, regarding execution time and precision metrics, it was not possible to obtain statistical evidences, with significance level equal or higher than 95%, to state that their values are different.

Stepwise introduction uses a combination of (1) outcome measurements with high-precision metrics in small cohorts, such as RSA, and (2) limited clinical introduction in a larger cohort, prospectively monitoring outcomes and revisions.

When observing the precision and recall metrics, it can be observed that the addition of more sources affects the recall metric much more then it does the precision metric.

The synthesis of plant lists, agro-conservation techniques and precision agriculture metrics allowed us to create an algorithm that specified the species, location, density, and size of each planting within an agricultural plot.

The experimental results demonstrated that our technique achieves the better performance when compared to the basic CF and other extended version of CF techniques in terms of Precision, Recall metrics, even when the data is very sparse.

The prognostic performance of the proposed approach and the IES-TM-21-11 IES-TM-21-11 IES-TM-21-11 IES-TM-21-11valuated with both accuracy- and projectingbapproachrics.