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Table 6 Comparison between the number and percentage of outliers outside the 3-sigma limits for the original and hybrid models for 45 high-ranking variables

From: Detecting heterogeneity parameters and hybrid models for precision farming

ML models

Robust method

\(\mu \pm 3\sigma\)(%)

Remarks

Before heterogeneity

After heterogeneity

Ridge (control)

Original

23(1.20)

29(1.52)

Increase

M Bi-Square

25(1.31)

22(1.15)

Decrease

M Hampel

16(0.84)

24(1.25)

Increase

M Huber

35(1.83)

28(1.46)

Decrease

MM

63(3.29)

22(1.15)

Decrease

S

33(1.72)

32(1.67)

Decrease

Random forest

Original

45(2.35)

41(2.14)

Decrease

M Bi-Square

26(1.36)

34(1.78)

Increase

M Hampel

19(0.99)

29(1.52)

Increase

M Huber

25(1.31)

33(1.72)

Increase

MM

85(4.44)

48(2.51)

Decrease

S

75(3.92)

30(1.57)

Decrease

Support vector machine

Original

24(1.25)

24(1.25)

Constant

M Bi-Square

27(1.41)

27(1.41)

Constant

M Hampel

23(1.20)

28(1.46)

Increase

M Huber

27(1.41)

28(1.46)

Increase

MM

80(4.18)

68(3.55)

Decrease

S

82(4.28)

36(1.88)

Decrease

Bagging

Original

31(1.62)

28(1.56)

Decrease

M Bi-Square

34(1.78)

28(1.46)

Decrease

M Hampel

28(1.46)

21(1.10)

Decrease

M Huber

30(1.57)

26(1.36)

Decrease

MM

79(4.13)

31(1.62)

Decrease

S

75(3.92)

29(1.52)

Decrease

Boosting

Original

15(0.78)

14(0.73)

Decrease

M Bi-Square

33(1.72)

25(1.31)

Decrease

M Hampel

29(1.52)

19(0.99)

Decrease

M Huber

31(1.62)

25(1.31)

Decrease

MM

94(4.91)

26(1.36)

Decrease

S

81(4.23)

31(1.62)

Decrease

LASSO

Original

26(1.36)

35(1.83)

Increase

M Bi-Square

37(1.93)

42(2.19)

Increase

M Hampel

38(1.99)

27(1.41)

Decrease

M Huber

41(2.14)

33(1.72)

Decrease

MM

73(3.81)

43(2.25)

Decrease

S

54(2.82)

33(1.72)

Decrease

Elastic Net

Original

29(1.52)

33(1.72)

Increase

M Bi-Square

36(1.88)

28(1.46)

Decrease

M Hampel

33(1.72)

23(1.20)

Decrease

M Huber

33(1.72)

26(1.36)

Decrease

MM

74(3.87)

30(2.25)

Decrease

S

51(2.67)

26(1.36)

Decrease