Table 2.
Classification metrics | Classification model | |||
---|---|---|---|---|
ANN-BP | ANN-PSO | RBF-(ROLS+D-opt) | RBF-TLLH | |
TP | 552 | 517 | 576 | 665 |
TN | 554 | 452 | 688 | 670 |
FN | 168 | 203 | 144 | 55 |
FP | 166 | 268 | 32 | 50 |
Sensitivity/TPR (%) | 76.67% | 71.81% | 80.00% | 92.36% |
Specificity/TNR (%) | 76.94% | 62.78% | 95.56% | 93.06% |
Accuracy (%) | 76.81% | 67.29% | 87.78% | 92.71% |
True represents the fatigue state; false represents the alert state.
TP, true positive; TN, true negative; FN, false negative; FP, false positive.