Table 2 Classifier outcome of SEHDL-OSCCR method under distinct epochs.

From: Deep transfer learning with improved crayfish optimization algorithm for oral squamous cell carcinoma cancer recognition using histopathological images

Class labels

Accuy

Precn

Recl

F1score

MCC

Epoch − 500

 Normal

94.89

86.90

82.02

84.39

81.39

 OSCC

94.89

96.40

97.49

96.94

81.39

Average

94.89

91.65

89.76

90.67

81.39

Epoch − 1000

 Normal

96.97

89.25

93.26

91.21

89.41

 OSCC

96.97

98.62

97.72

98.17

89.41

Average

96.97

93.93

95.49

94.69

89.41

Epoch − 1500

 Normal

97.16

90.22

93.26

91.71

90.02

 OSCC

97.16

98.62

97.95

98.29

90.02

Average

97.16

94.42

95.60

95.00

90.02

Epoch − 2000

 Normal

98.11

93.41

95.51

94.44

93.31

 OSCC

98.11

99.08

98.63

98.86

93.31

Average

98.11

96.25

97.07

96.65

93.31

Epoch − 2500

 Normal

97.73

93.26

93.26

93.26

91.89

 OSCC

97.73

98.63

98.63

98.63

91.89

Average

97.73

95.95

95.95

95.95

91.89

Epoch − 3000

 Normal

98.88

93.62

98.88

96.17

95.43

 OSCC

98.63

99.77

98.63

99.20

95.43

Average

98.75

96.69

98.75

97.69

95.43