Figure 7: The training data set and test data set used to conduct recalibration exercise.
From the error analysis in Table 1, the mean relative error\(\overset{\overline{}}{\epsilon_{\text{All}}}\) is -0.033 (-3.03%), with a standard deviation \(\sigma_{\text{All}}\) of 0.3047 (30.47%). Before applying the error reduction algorithm, the test dataset has a mean flow coefficient \(\overset{\overline{}}{C_{\text{Test}}}\) of 0.917, a mean relative error\(\overset{\overline{}}{\epsilon_{\text{Test}}}\) of -0.0831 (-8.31%) and a standard deviation \(\sigma_{\text{Test}}\) of ±0.2030 (20.30%).