Table 3 The statistical results by paired t-test for ELPMA and other comparison methods.

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

ELPMA versus

GBDT-LR

ABMDA

CD_LNLP

LAGCN

Fivefold cross-validation

p-value of Precision

3.1222e−19

3.7527e−04

1.0708e−13

1.8361e−34

p-value of Sensitivity

2.4777e−19

9.1047e−22

6.9457e−27

4.0794e−19

p-value of F1-score

4.7760e−21

1.8721e−18

1.9262e−26

6.8365e−32

p-value of Acc

8.4523e−21

2.0776e−21

1.6029e−19

2.0969e−18

p-value of AUC

8.7304e−19

3.7505e−18

1.3119e−29

2.3623e−17

p-value of AUPR

5.4014e−19

6.0815e−18

3.2105e−30

3.8908e−34

p-value of MCC

9.5274e−21

6.4989e−21

3.2757e−23

1.8933e−30

Tenfold cross-validation

p-value of Precision

2.7171e−19

0.0018

3.1185e−10

3.7167e−38

p-value of Sensitivity

4.5501e−20

2.907e−27

1.0613e−26

1.1716e−20

p-value of F1-score

1.3765e−23

1.7704e−23

2.7238e−26

2.1321e−36

p-value of Acc

8.2969e−23

1.9452e−26

3.0679e−19

1.0305e−17

p-value of AUC

1.8574e−20

2.5035e−16

1.1239e−30

2.7548e−23

p-value of AUPR

7.2994e−18

8.1945e−14

1.8536e−33

4.9185e−38

p-value of MCC

8.1499e−23

2.0395e−25

3.2985e−22

2.4717e−33