Table 1.
Detected materials | Total cost (seconds) | Effective cost (seconds) | Sensitivity | Specificity | F1 score | Accuracy | |
---|---|---|---|---|---|---|---|
0.25 | 40.4 | 3,450,440 | 85,407 | 0.7769 | 1 | 0.8714 | 0.8619 |
0.5 | 47.8 | 4,365,990 | 91,339 | 0.9192 | 1 | 0.9574 | 0.95 |
0.75 | 49.8 | 4,645,890 | 93,291 | 0.9577 | 1 | 0.9782 | 0.9738 |
As the weight parameter , which determines the balance between the throughput and computational efficiency, increased from 0.25 to 0.75, all the throughput-related performance metrics tended to improve at the cost of higher computational cost (i.e., increased total cost and effective cost). Overall, the optimized HTVS pipeline struck a good balance between throughput and computational efficiency.