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Table 3 Confusion matrix of SVC models using extracted features

From: Evaluation of quinclorac toxicity and alleviation by salicylic acid in rice seedlings using ground-based visible/near-infrared hyperspectral imaging

Cultivar

Parametera

 

Training set

 

Validation set

 

Testing set

 
 

CK

Q

S

Accuracy

Kappa

CK

Q

S

Total

Kappa

CK

Q

S

Accuracy

Kappa

XS 134

(105, 10–1)

CK

25

0

0

  

6

0

0

  

5

0

1

  

Q

0

21

5

  

0

6

0

  

0

6

1

  

S

0

2

26

  

0

2

5

  

1

0

6

  
    

91.14%

86.68%

   

89.47%

80.65%

   

85%

76.15%

ZJ 88

(106, 10–1)

CK

28

0

0

  

7

0

0

  

6

0

0

  

Q

0

28

0

  

0

6

1

  

0

6

0

  

S

0

0

26

  

0

0

6

  

0

2

5

  
    

100%

100%

   

95%

92.5%

   

89.47%

80.5%

  1. aParameter means the model parameter of SVC, which is the combination of penalty coefficient C and RBF kernel parameter g, i.e. (C, g)
  2. bTotal means the total classification accuracy
  3. cKappa is used to evaluate the inter-rater reliability of the classification results
  4. CK: treated with nutrient solution, Q: treated with 0.25 g/L quinclorac, S: pre-treated with 10 mg/L SA followed by 0.25 g/L quinclorac