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.