Figure 12: Graph (a) shows the flow Coefficient C and Absolute
Relative Error of the test data. Dark colored points indicate the
targeted points to be removed because of excessive errors (i.e. C ≤ 0.85
or C ≥ 1.15); Graph (b) shows the results after the Gaussian Naïve Bayes
Classifier Scheme was implemented.
Comparing the two graphs, most of the data points with significant
errors have been predicted and removed. The exercise was repeated with
Gaussian NB methods based on isotonic calibration and sigmoid
calibration. The final outcomes were summarized in Table 4.