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Table 1 The prediction accuracy, generalisation variance and computational efficiency of machine learning models.

From: Improved general regression network for protein domain boundary prediction

 

IGRN II

IGRN

GRNN

RBFN

MLP

Win 7

68.3

65.6

67.1

65.4

66.7

Win 11

66.7

65.4

65.1

61.3

63.8

Win 19

67.1

63.7

65.4

62.1

66.5

Win 27

65.5

64.5

63.8

59.7

62.1

Avg Accuracy

67.0

64.79

65.36

62.13

64.78

St. Dev

1.16

0.86

1.37

2.41

2.22

Training Time

43.2

31.5

91.3

28.1

91.8

Testing Time

7.4

5.3

8.7

5.2

6.3