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Statistical parameters used in the study are average percentage error 'APE', average absolute percentage error (AAPE), average percentage error (APE), correlation coefficient (R), and standard deviation.
The average percentage predictive error for the outlet humidity ratio was between −2.21 and 0.43% (SD ≤ 4.82%).
Average percentage relative error.
The average percentage model error was 4.0% on 1 August and 3.7% on 22 August.
Only correct responses were included in results analyses (average percentage of error RTs removed: PTSD PTs=3.53%; Military controls=1.56%; Civilian controls=1.61%).
Only correct responses were included in results analyses (average percentage of error RTs removed: YAs = 1.68%; OAs = 2.74%).
To calculate the error rate, Mean average percentage error (MAPE) is used in this study.
The average percentage error of the sensors was considerably lower than the maximum percentage error of the numerically simulated measurements.
Measures were used to validate the adequacy of these models including, the mean average percentage errors and the maximum percentage errors.
The smallest average percentage error was achieved by method 4 when using coronal ICAs and the smallest variance in percentage error by method 4 when using sagittal ICAs.
Second, as the quota increases, the average percentage error decreases.
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CEO of Professional Science Editing for Scientists @ prosciediting.com