Sentence examples for mean error error from inspiring English sources

Bias (defined as mean error; error = rS o2 − Sav o2), standard deviation (SD) of error, and limits of agreement (bias ± 1.96 SD) were calculated using Bland and Altman analysis for repeated measures.

The means +/− standard error (error bars) were determined for all appropriate data.

Table 3 Error performance metrics both algorithms   Error Error (GB)   Mean Stdev.

Root-mean-square error, mean square error, absolute square error, mean error, root-mean-square standardized error, measured values versus predicted values were used for cross-validation.

(column: mean, error bars: standard errors).

The root mean squared error, mean error and mean absolute error calculated from leave-one-out cross-validation were used to assess prediction accuracy.

The following performance metrics were used in the benchmark process: Mean error (GB) Mean error Median error (GB) Median error Mean absolute error (GB) Mean absolute percentage error Mean runtime Median runtime.

These methods (Table 2) are: absolute mean error (AME), mean absolute error (MAE), median absolute error (MdAE), root mean squared error (RMSE), mean absolute percentage error (MAPE), median absolute percentage error (MdAPE), and root mean squared percentage error (RMSPE).

Figure 6 Mean error and mean squared error of the CFO estimation.

Figure 7 Mean error and mean squared error of the STO estimation.

Mean error (ME), mean absolute error (MAE), root mean square error (RMSE), and coefficient of determination (R2) were selected as comparison criteria.