Item Subject Mean Relative Error \(\overset{\overline{}}{\epsilon}\) Std. Deviation \(\sigma\) Uncertainty \(\overset{\overline{}}{\epsilon}\ \)± \(2\sigma\)
1 Train Data Set -0.007 (0.7%) ±0.344 (±34.3%) ±0.688 (68.8%)
2 Test Data Set -0.0830 (-8.3%) ±0.203 (±20.3%) ±0.406(±40.6%)
3 Manual removing of test data with flow coefficient \(C\leq 0.85\ \ \)or \(C\geq 1.15\) (as depicted in Fig. 12 (a)). -0.0588 (-5.9%) ±0.073 (±7.3%) ±0.146 (±14.6%)
4 Filtering Test Data using Gaussian Naïve Bayes algorithm with no calibration -0.0945 (-9.5%) ±0.080 (±8.0%) ±0.161 (±16.1%)
5 Filtering Test Data using Gaussian Naïve Bayes algorithm with isotonic calibration -0.0928 (-9.3%) ±0.124 (±12.4%) ±0.247 (±24.7%)
6 Filtering Test Data using Gaussian Naïve Bayes algorithm with sigmoid calibration -0.0839 (-8.4%) ±0.117 (±11.7%) ±0.234 (±23.4%)