Table 5 Performance of ML models for calibration and validation to predict YMD severity.

From: Predicting yellow mosaic disease severity in yardlong bean using visible imaging coupled with machine learning model

 

Calibration

Validation

ML models

R2

d-index

MBE

n-RMSE

R2

d-index

MBE

n-RMSE

ELNET

0.93

0.98

0.00

9.00

0.91

0.97

2.55

10.30

RF

0.98

1.00

0.31

4.50

0.95

0.98

2.67

7.80

MARS

0.97

0.99

0.00

6.10

0.87

0.96

2.37

12.80

PLS

0.92

0.98

0.00

9.20

0.88

0.97

2.66

11.60

SVM

0.92

0.98

−0.46

9.30

0.90

0.97

2.42

10.90

GBM

0.98

0.99

0.02

4.80

0.92

0.98

3.04

9.60

KNN

0.95

0.98

2.19

8.10

0.94

0.98

3.49

8.70

XGB

0.99

1.00

0.69

3.80

0.95

0.98

3.75

8.20

Cubist

0.99

1.00

0.38

3.70

0.95

0.98

3.47

8.10

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