Sentence examples for performance evaluation measure from inspiring English sources

F1Score is a performance evaluation measure.

It proposes a new performance evaluation measure, the SU self-termination probability.

To obtain S-GFMAPR forecasts that are not strictly hinged on a single performance evaluation measure, a comparative performance index (CPI) was developed.

Considering that the final performance evaluation measure is the digital transmission characteristic in terms of BER or spectral efficiency, i.e., often referred to as channel capacity, we evaluate the channel capacity performance (in bps/Hz), where equal powers are allocated to each input port.

As the prediction comparison is meaningful only provided that it is performed based on the same datasets and evaluated using the same performance evaluation measures, we implemented these two methods previously proposed and applied three measures to evaluate the prediction performance based on the current dataset.

A wide variety of standard statistical performance evaluation measures are needed to properly evaluate the performances of various ANN models rather than relying on a few global error statistics (such as RMSE and correlation coefficient) normally employed.

He and the union agreed on performance evaluation measures last year, the first time in 50 years that the yardsticks had been revised.

Sample quality merits including sample sizes and noise, and metamodel performance evaluation measures incorporating accuracy, robustness, and efficiency are considered.

An agent based simulation of such a system is presented in this paper along with some basic performance evaluation measures of the presented system.

Three quantitative standard statistical performance evaluation measures, root mean squared error (RMSE), mean absolute error (MAE) and mean absolute percentage error (MAPE) were employed to evaluate the performances of the ANN, SVM, EMD SVM and M-EMDSVM models.

The wavelet coupled MARS and MT models were compared with their simple counterpart using standard statistical performance evaluation measures such as Root Mean Square Error (RMSE), Normalized Nash-Sutcliffe Efficiency (NNSE) and Coefficient of Determination (R2).