Sentence examples for predictability accuracy from inspiring English sources

The predictability accuracy has been investigated in this paper based on two different method-level metrics, which are 21 and 37 static code attributes.

However, most of existing feature selection methods focus on the predictability (e.g., prediction accuracy) of selected results yet neglect stability.

Most existing feature selection methods focus on predictability (e.g., prediction accuracy) without considering the correlation between different feature types, weakening the interpretability of selected results.

Feature selection is commonly used as a preprocessing step for classification, so most feature selection algorithms are only designed for better predictability, such as high prediction accuracy.

In addition, we analyze waiting-time predictability by two metrics: waiting-time prediction accuracy and the percentage of clients receiving expected waiting times.

To further investigate the effect of the number of selected features on predictability performance, Fig. 9 shows the prediction accuracy of five feature selection methods on three different classes.

However, ensemble feature selection methods combine the selected results according to prediction accuracy, which may result in imbalance between stability and predictability.

Tables 4, 5 and 6 show the prediction accuracy of each class on the three datasets to evaluate the predictability, respectively.

In this study, engine modeling, predictability, and accuracy were focused upon using design of experiment (DOE).

The best statistical predictability and accuracy resulted from CCD (R2 = 0.997, MSE = 0.34).

The purpose of this retrospective study was to evaluate the predictability and accuracy of maxillary repositioning during bimaxillary surgery using a three-dimensional positioning technique.