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Table 13 Performance of Random Forest combined with PseudoSMR

From: Performance of rotation forest ensemble classifier and feature extractor in predicting protein interactions using amino acid sequences

Lg

Dim.

Acc.

Sen.

Spe.

Pre.

F1-s.

2

15,350 Ă—120

75.51

71.66

79.46

78.17

74.77

3

15,350 Ă—180

75.12

70.37

79.99

78.31

74.13

5

15,350 Ă—240

76.89

72.61

81.25

79.82

76.05

6

15,350 Ă—300

76.06

71.86

80.36

78.97

75.25

8

15,350 Ă—360

76.92

72.63

81.31

79.95

76.12

10

15,350 Ă—420

75.72

71.35

80.20

78.72

74.85