Table 8 Comparison of implemented methods for classification.
Evaluation Metrics | RFC | MLP | GA-ELM | PSO-ELM |
|---|---|---|---|---|
TP | 10,813 | 10,272 | 11,007 | 10,992 |
FP | 344 | 885 | 150 | 165 |
TN | 8128 | 7913 | 8151 | 8391 |
FN | 342 | 557 | 319 | 79 |
Accuracy (%) | 96.504 | 92.653 | 97.610 | 98.756 |
Sensitivity | 0.969 | 0.948 | 0.971 | 0.992 |
Specificity | 0.959 | 0.899 | 0.981 | 0.980 |
Precision | 0.969 | 0.920 | 0.986 | 0.985 |
Recall | 0.969 | 0.948 | 0.971 | 0.992 |
F1 Score | 0.969 | 0.934 | 0.979 | 0.989 |
Training time (minutes) | 2.650 | 26.133 | 35.566 | 27.616 |
Prediction time (microseconds) | 117.604 | 23.706 | 13.894 | 14.740 |
Prediction accuracy stability | No | No | No | Yes |
