Table 3. Summary of the result for each of the machine learning model.
Method | Type | RMSE | Accuracy (%) | Sensitivity | Specificity | Wilcoxon (p-value) |
---|---|---|---|---|---|---|
SVR | All variables | 1.71 | 79.25 | 0.17 | 0.96 | 0.52 |
Selected variables | 1.55 | 79.24 | 0.17 | 0.93 | 0.21 | |
RF | All variables | 1.62 | 81.13 | 0.14 | 0.95 | 0.72 |
Selected variables | 1.53 | 77.99 | 0.13 | 0.98 | 0.68 | |
ANN | All variables | 1.58 | 53.46 | 0.33 | 0.59 | 0.09 |
Selected variables | 1.42 | 64.78 | 0.15 | 0.78 | 0.50 |