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Table 14 The result of ResNet50 for classification using tenfold cross-validation

From: WBC image classification and generative models based on convolutional neural network

 

NE. (%)

EO. (%)

BA. (%)

LY. (%)

MO. (%)

Fold-0

100

0

0

49

1

Fold-1

0

16

26

94

50

Fold-2

100

90

94

5

100

Fold-3

99

95

100

81

100

Fold-4

0

1

78

67

1

Fold-5

0

23

5

100

24

Fold-6

0

98

86

0

100

Fold-7

100

1

10

54

1

Fold-8

100

95

100

33

23

Fold-9

0

87

56

0

100

Avr. Acc.

50

51

56

48

50

  1. The average accuracy for five classes is 51%