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Table 4 Classification result on each extracted set of features for apple scab disease

From: A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases

Method

Features

Measures

 

SLBP

Harlick

Color

Sen (%)

Spec (%)

Accuracy (%)

DT

✓

  

82.45

88.0

82.4

  

✓

 

78.40

76.0

78.4

   

✓

54.70

44.0

54.9

QSVM

✓

  

94.25

100

94.1

  

✓

 

76.30

68.0

76.5

   

✓

56.75

52.0

56.9

CSVM

✓

  

90.25

94.04

90.2

  

✓

 

69.55

66.0

66.7

   

✓

62.70

60.0

62.7

QDA

✓

  

88.15

84.0

88.2

  

✓

 

84.30

84.0

84.3

   

✓

56.75

52.0

56.9

F-KNN

✓

  

90.25

92.0

90.2

  

✓

 

70.60

72.0

70.6

   

✓

54.85

52.0

54.9

W-KNN

✓

  

90.25

92.0

90.2

  

✓

 

74.45

72.0

74.5

   

✓

66.45

56.0

66.7

EBT

✓

  

92.25

96.0

92.2

  

✓

 

78.55

84.0

78.4

   

✓

62.90

56.0

62.7

ESDA

✓

  

92.10

92.0

92.2

  

✓

 

84.30

84.0

84.3

   

✓

70.55

68.0

70.6

MSVM

✓

  

94.15

96.0

94.1

  

✓

 

86.25

84.0

86.3

   

✓

72.40

64.0

72.5