Skip to main content
. 2012 Jun 8;7(6):e37155. doi: 10.1371/journal.pone.0037155

Table 2. The performance comparison between the proposed algorithm and Hum-mPLoc 2.0.

Evaluation metric The proposed algorithm Hum-mPLoc 2.0
The whole test set Average precision Inline graphic 0.581 0.579
Recall Inline graphic 0.643 0.519
F1-score Inline graphic 0.506 0.541
Absolute true success rate Inline graphic 0.202 0.294
Coverage Inline graphic 4.303 5.317
Ranking loss Inline graphic 0.419 0.496
Samples with multiple sites Average precision Inline graphic 0.596 0.568
Recall Inline graphic 0.579 0.443
F1-score Inline graphic 0.576 0.548
Absolute true success rate Inline graphic 0.153 0.114
Coverage Inline graphic 6.800 8.453
Ranking loss Inline graphic 0.463 0.568