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Table 4 Evaluation of SVMs based on different kernel types

From: Analysis of plot-level volume increment models developed from machine learning methods applied to an uneven-aged mixed forest

Kernel type

Linear

Polynomial

RBF Gamma

Sigmoid

Train

Evaluation

Train

Evaluation

Train

Evaluation

Train

Evaluation

R2

0.90

0.86

0.89

0.85

0.91

0.92

0.39

0.41

RMSE

0.45

0.52

0.44

0.48

0.3

0.33

0.80

0.83

BIAS

0.092

0.097

0.19

0.099

0.063

0.061

2.23

2.31

%RMSE

28.08

23.83

18.55

22.06

12.44

14.93

33.45

37.41

%BIAS

3.81

4.36

7.88

4.45

2.61

2.74

92.53

104.05

Gamma

-

0.14

0.14

0.14

Epsilon

0.1

0.1

0.1

0.1

Capacity

10

10

10

10