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Table 3 The ranks of variable importance on hnscc dataset

From: A comparative study of forest methods for time-to-event data: variable selection and predictive performance

Characteristics

Median ranks of VIM

Frequency of VIM ranking top 38

RSF

CIF

MSR-RF

RSF

CIF

MSR-RF

AFF3

9

5

8

0.81

0.99

0.85

PCDP1

49

36.5

52

0.43

0.54

0.35

ADH1B

12

23.5

39.5

0.87

0.8

0.48

RIMKLA

63

80.5

64.5

0.21

0.07

0.12

PCDHA12

58

64

56.5

0.24

0.21

0.14

CDHR5

48

11.5

32

0.43

0.94

0.56

PGC

4

19.5

37.5

0.94

0.87

0.51

NME5

48

43

45

0.31

0.43

0.43

XIST

36.5

27.5

50

0.51

0.66

0.33

B3GAT1

15

17.5

19

0.72

0.91

0.75

C1orf88

14

6

5

0.8

0.97

0.98

SELENBP1

17

25

15.5

0.73

0.77

0.75

ASRGL1

56.5

41.5

39

0.36

0.47

0.5

SGK2

52

15.5

45.5

0.36

0.86

0.44

PPP1R9A

49

81.5

66

0.29

0.05

0.21

KLF15

48

54.5

50

0.34

0.3

0.35

PNMA2

67

74

56.5

0.16

0.08

0.26

DNALI1

45

58

36

0.38

0.29

0.53

TMEM178

62.5

74

58.5

0.28

0.08

0.25

GAL3ST1

31.5

9

17

0.57

0.93

0.71

PLCXD3

42.5

64

55.5

0.47

0.13

0.19

RSPH1

44.5

24.5

48

0.44

0.7

0.4

METTL7B

31

17

25

0.58

0.88

0.62

DCDC2

63.5

64

61.5

0.17

0.19

0.16

DDAH1

64.5

56

44

0.24

0.26

0.46

RGL3

58.5

72

59.5

0.23

0.1

0.18

C16orf89

54.5

77

62

0.31

0.05

0.26

TCF21

61.5

66

51.5

0.24

0.16

0.33

C8orf46

62.5

70

66

0.21

0.11

0.32

CTSE

23

14

10

0.67

0.9

0.81

GJB1

60

77

64

0.18

0.06

0.22

BEX1

31

28

26.5

0.6

0.67

0.56

ABCC6P2

57

46.5

46

0.31

0.38

0.44

MYEF2

45.5

37

44

0.46

0.52

0.43

SLC4A4

63.5

62

61

0.18

0.19

0.3

CA8

64.5

68

61.5

0.23

0.13

0.19

CACNA1D

44

43

41

0.41

0.43

0.45

AQP4

62

77.5

58

0.2

0.06

0.22

median

48.5

44.75

47

0.36

0.40

0.42

range

4 ~ 67

5 ~ 81.5

5 ~ 66

0.16 ~ 0.94

0.05 ~ 0.99

0.12 ~ 0.98

IQR

32.75 ~ 61.12

23.75 ~ 67.5

36.38 ~ 58.38

0.24 ~ 0.56

0.13 ~ 0.79

0.25 ~ 0.53