Sentence examples for model efficiency coefficient from inspiring English sources

We propose to choose the discount factor by maximizing the adjusted R2 values or the Nash Sutcliffe model efficiency coefficient.

The predictive skill of the model was assessed by calculating the mean square error and the Nash Sutcliffe model efficiency coefficient.

This research used several statistical metrics and a new approach based on hypothesis testing of the Nash-Sutcliffe model efficiency coefficient (NSE) to evaluate model performance.

The effectiveness of these models was evaluated using the root-mean-squared error (RMSE) and Nash Sutcliffe model efficiency coefficient (NSE).

Validation using eddy covariance (EC) flux towers and water balance approaches showed good accuracy levels with R2 ranging from 0.74 to 0.95 and the Nash Sutcliffe model efficiency coefficient ranging from 0.66 to 0.91.

The model efficiency and the predictive performance were quantified using the root mean squared error (RMSE), Nash Sutcliffe model efficiency coefficient (NSE), anomaly correlation coefficient (ACC) and mean square skill score (MSSS).

Nash Sutcliffe model efficiency coefficients (E f) for LVC and LPC using MVRA are −344.5627 and −633.2961 respectively.

The Nash Suttcliffe simulation efficiency coefficients of the models are greater than 0.6.

Using the PSO-DT method resulted in higher model efficiency and coefficient of determination (R2) than the MLR approach.

The ANFIS method resulted in higher model efficiency and coefficient of determination (R2 = 0.91) than MLR approach (R2 = 0.74).

The performance of the model during calibration and validation is evaluated by performance indices such as root mean square error (RMSE), model efficiency and coefficient of correlation (R).