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Table 5 Results and evaluation related to analysis of k-nearest neighbor

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

KNN

Euclidean

Euclidean squared

Manhattan

Chebychev

Train

Evaluation

Train

Evaluation

Train

Evaluation

Train

Evaluation

K range

1–20

1–20

1–20

1–20

1–20

1–20

1–20

1–20

R2

0.71

0.73

0.71

0.73

0.73

0.75

0.71

0.72

RMSE

0.95

0.81

0.95

0.81

0.84

0.78

0.95

0.82

BIAS

0.06

0.14

0.06

0.14

0.03

0.04

0.05

0.13

%RMSE

39.52

36.63

39.52

36.63

35.24

36.51

39.62

36.64

%BIAS

0.27

6.31

0.27

6.31

0.25

2.22

0.26

6.12

Optimal K

10

10

10

10

11

11

10

10