Table 3 Training and testing accuracy of ANN at various configurations.

From: The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models

S. No.

1st hidden layer

2nd hidden layer

(η)

Iterations

Training accuracy

Testing accuracy

1

1

2

0.05

50

32.50

33.33

2

1

2

0.15

50

64.20

65.55

3

1

2

0.25

50

32.40

33.33

4

1

2

0.35

50

65.50

66.67

5

1

2

0.45

50

57.77

58.33

6

1

2

0.55

50

63.75

76.77

7

1

2

0.65

50

63.45

65.00

8

1

2

0.75

50

63.45

58.33

9

1

2

0.85

50

57.44

61.33

10

1

2

0.99

50

56.70

58.33

11

2

2

0.05

100

94.60

90.00

12

2

2

0.15

100

95.50

90.00

13

2

2

0.25

100

93.40

89.33

14

2

2

0.45

100

95.90

90.00

15

3

2

0.05

100

96.40

90.00

16

3

2

0.15

100

96.40

84.00

17

3

2

0.45

100

95.00

80.00

18

4

2

0.15

100

97.90

85.00

19

4

2

0.25

100

97.91

96.67

20

4

2

0.35

100

97.92

45.00

21

4

2

0.35

300

95.80

51.77

22

4

2

0.35

50

96.70

70.00

23

5

2

0.15

100

97.92

85.00