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Table 3 Confusion matrices of Random Forest analysis

From: What makes a successful species? Traits facilitating survival in altered tropical forests

 

D

I

NR

SD

CE (%)

OE (%)

Complete data set

   

50.2

 D

15

4

9

5

54.5

 

 I

5

1

7

6

94.4

 

 NR

12

6

48

17

42.2

 

 SD

9

12

29

57

47.2

 

Subset D vs. SD

    

22.0

 D

17

–

–

16

48.5

 

 SD

15

–

–

93

12.0

 

Subset D vs. NR

    

20.7

 D

21

–

12

–

36.4

 

 NR

12

–

71

–

14.5

 

Subset D vs. I

    

40.4

 D

23

10

–

–

30.3

 

 I

11

8

–

–

57.9

 

Subset I vs. NR

    

30.4

 I

–

9

10

–

52.6

 

 NR

–

21

62

–

25.3

 
  1. Confusion matrices with per class error (CE) rate and overall error (OE) rate per Random Forest analysis (complete data set and different subsets); analysis were performed with ntree = 1000, mtry = 3 and sampsize adjusted to the smallest sample size (R package ‘randomForest’); forest dependency index: D dependent (n = 33), SD slightly dependent (n = 108), NR non-responding (n = 83), I forest independent (n = 19)