Sentence examples for mean percent error from inspiring English sources

Exact(14)

Also, mean square error (MSE), root of mean square error (RMSE), mean absolute error (MAE) and mean percent error (MPE) were used for evaluation of the classification.

Results show that using SVM method with region index and intensify as color index make the best classification with mean percent error of less than 2.25%.

Sensor mean percent error on day 7 was 16.4 ± 5.0% using a single daily reference blood glucose value to calibrate the sensor.

Overall, the model was determined to slightly overpredict outflow concentrations for most nutrients (mean percent error (MPE) = 1.22% for organic N, 2.1% for NO3−, 8.69% for NH4+, 9.96% for CBOD, and 20.2% for total P).

To indicate the performance of the models, the following statistical test methods are used: the coefficient of determination (R2), mean bias error (MBE), mean absolute bias error (MABE), mean percent error (MPE), mean absolute percent error (MAPE), root mean square error (RMSE) and the t-statistic method (tsta).

Mean percent error.

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Similar(46)

We computed the Gravity model using dataset D1, and specifically modeled the migrations for both administrative and sub-tribal partitioning of the country, and subsequently tested the accuracy of the model from the mean average percent error (MAPE) with respect to the true network of human mobility.

The forecasting performance of the models was compared on the basis of four different indicators under normal distribution and Student's t-distribution: root mean square error (RMSE), mean absolute error (MAE), mean absolute percent error (MAPE), and Theil inequality (TI).

We used the mean arithmetic percent error and mean absolute percent error to evaluate the accuracy of the DLW method (Gessaman et al., 2004).

The error measures are the mean relative percent error (MRPE), the mean absolute relative percent error (MAPE), the coefficient of determination (R2), and the root mean squares (RMS).

Model 1 and model 2 had good fitness with higher values of R 2, lower RSE (residual standard error) and MPSE (mean percent standard error) than model 3.

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