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. 2022 Dec 6;26(1):105735. doi: 10.1016/j.isci.2022.105735

Table 1.

Performance evaluation of the jointly optimized HTVS pipeline based on 5-fold cross-validation (target RP threshold at the last stage set to 2.5 V)

α 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 α, 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.