Table 1 The prediction performance of ELPMA model using different individual learners.

From: Inferring pseudogene–MiRNA associations based on an ensemble learning framework with similarity kernel fusion

Model

Precision

Sensitivity

F1-score

Acc

AUC

AUPR

MCC

ELPMA-AB

0.7118

0.7153

0.7128

0.7124

0.7822

0.8000

0.4257

ELPMA-RF

0.9362

0.8592

0.8959

0.9003

0.9568

0.9664

0.8035

ELPMA-ERT

0.9650

0.8962

0.9292

0.9318

0.9793

0.9832

0.8660

ELPMA-XGB

0.9716

0.9369

0.9540

0.9548

0.9897

0.9914

0.9102

  1. Significant values are in bold.
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