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Table 3 Test error rates for each data set.

From: Drug activity prediction using multiple-instance learning via joint instance and feature selection

 

Error rate(%)

R1

R2

R3

R4

R5

Average

Method 1

Data set I

18.25

14.60

17.52

10.95

19.71

16.20 ± 3.48 (11.82 ± 1.20)

 

Data set II

18.38

16.18

17.65

19.85

15.44

17.50 ± 1.76 (16.91 ± 0.74)

 

Data set III

16.24

14.53

15.38

16.24

17.95

16.07 ± 1.27 (15.38 ± 1.05)

 

Data set IV

28.57

23.81

34.92

28.57

30.16

29.21 ± 3.98 (26.35 ± 0.87)

Method 2

Data set I

15.33

16.06

19.71

21.90

19.71

18.54 ± 2.76 (11.82 ± 1.20)

 

Data set II

18.38

13.24

13.24

16.18

18.38

15.88 ± 2.58 (16.91 ± 0.74)

 

Data set III

16.24

17.09

17.52

17.09

15.38

16.67 ± 0.85 (15.38 ± 1.05)

 

Data set IV

37.30

34.92

26.98

28.57

36.51

32.86 ± 4.75 (26.35 ± 0.87)

  1. R1-R5: from the first to the fifth repeat.
  2. Note: numbers in parentheses are average error rates of the original MILES method.