Sentence examples for mean absolute percent from inspiring English sources

The specific growth rate was initially predicted with a mean absolute percent error (MAPE) of 34 36%.

Results from the study show that the Reg-SARIMA GARCH model pReg-SARIMA GARCHorecast accuracy with a modelabsolute produceserror (MAPE) of 1.42%.

In addition, optimum binary parameters to consider the interaction of CO2 and N2 molecules were suggested based on the mean absolute percent error.

The predicted energy use is compared to the actual energy use, and errors are summarized with several metrics, including bias and mean absolute percent error (MAPE).

Mean absolute percent error (MAPE) of 1.81% and coefficient of determination (R2) of 0.9976 for training data and MAPE of 1.52% and R2 value of 0.9948 for testing data were obtained.

Comparison of the developed models was performed by statistical criteria, such as coefficient of determination (R2), root mean squared error (RMSE), standard deviation of error (STD) and mean absolute percent error (MAPE) coupled with desirability function.

Crossplot, cumulative frequency diagram, and trend analysis as visual tools, and root mean square error (RMSE), average absolute percent relative error (AAPRE) and determination coefficient (R2) as the statistical parameters, were utilized in this study to evaluate the comprehensiveness of the developed RBF tools.

Performance evaluation of the ANN model by means of squared error (MSE), average absolute percent deviation (AAD%) and correlation coefficient (R2) depicted the experimental value of MSE = 0.0529, AAD = 0.1894% and R2 = 0.98.

The overall average absolute percent error is 2.4%.

Average absolute percent relative error.

All models were compared statistically based on the training and validation data set by the coefficient of determination (R2), root mean squares error (RMSE), mean absolute percentage error (MAPE), mean absolute error (MAE) and mean relative percent deviation (MRPD).