6.3 Result analysis and Discussion

\label{result-analysis-and-discussion}
This subsection describes the results of our study. Table 4 illustrates the confusion matrix obtained for dengue dataset using ANN, DT, NB, PSO and PSO-ANN approaches. The confusion matrix is used to derive the results of performance measures used in this study. This matrix contains actual and predicted values of all data instances of dengue disease. The experimental results of all above mentioned approaches are described in Table 5. It is seen that PSO-ANN based approach provides better results in comparison to other approaches being compared. It is also noticed that PSO-ANN approach based diagnostic model obtains higher accuracy, sensitivity and specificity rate. Further, it is also observed that DT approach provides worst performance among all. It is also revealed that the performance of ANN approach is significantly improved by optimizing its weight and bias parameters through PSO method. Moreover, the ranking of each approach is also computed using performance measures. Again, it is observed that PSO-ANN approach obtains the first rank for all parameters and DT approach have worst rank.
Table 3: Parameters setting of DT, ANN, NB and PSO approaches