Table 5

Classification accuracy comparisons (in terms of precision, recall and F1 scores) for the strongly aggravating and alleviating classes of interactions found in E-MAPs.

Dataset

Method

Alleviating

Aggravating


Precision

Recall

F1

Precision

Recall

F1


Chromosome

wNN

0.66

0.14

0.23

0.71

0.40

0.51

LLS

0.65

0.07

0.13

0.74

0.38

0.50


RNA

wNN

0.69

0.14

0.23

0.72

0.39

0.51

LLS

0.75

0.11

0.19

0.72

0.35

0.47


Pombe

wNN

0.64

0.17

0.27

0.70

0.49

0.58

LLS

0.74

0.09

0.16

0.69

0.50

0.58


Signalling

wNN

0.71

0.06

0.11

0.65

0.27

0.38

LLS

0.50

0.01

0.02

0.65

0.32

0.43


ESP

wNN

0.78

0.14

0.24

0.64

0.42

0.51

LLS

0.67

0.09

0.16

0.66

0.42

0.52


The highest value for each dataset is highlighted in bold. While the neutral class has been left out for the sake of clarity, note that in all cases recall was ≈ 0.99 and precision was > 0.96.

Ryan et al. BMC Bioinformatics 2010 11:197   doi:10.1186/1471-2105-11-197

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