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. 2025 Mar 10;26:80. doi: 10.1186/s12859-025-06093-5

Table 6.

Comparison between MLPR and deep learning methods

Dataset Methods SN SP PPV NPV F ACC
Yeast DeepEP 0.5526 0.8000 0.4599 0.8530 0.5020 0.6046
MBIEP 0.6228 0.6459 0.3515 0.8475 0.4494 0.6400
MLPR 0.5614 0.8514 0.5378 0.8630 0.5494 0.7831
Fruitfly DeepEP 0.2857 0.7723 0.0778 0.9415 0.1223 0.7416
MBIEP 0.2449 0.8999 0.1412 0.9426 0.1691 0.8586
MLPR 0.1633 0.9492 0.1778 0.9441 0.1702 0.8997
Human DeepEP 0.3851 0.9780 0.8957 0.7639 0.5386 0.7826
MBIEP 0.3713 0.9706 0.8613 0.7585 0.5189 0.7731
MLPR 0.4069 0.9785 0.9031 0.7705 0.5610 0.7902