Table 3 Detection outcome of the ESHCS-DLJSO model under distinct epochs.

From: Improved security for IoT-based remote healthcare systems using deep learning with jellyfish search optimization algorithm

Class labels

\(\:{A}{c}{c}{{u}}_{{y}}\)

\(\:{P}{r}{e}{{c}}_{{n}}\)

\(\:{R}{e}{c}{{a}}_{{l}}\)

\(\:{{F}1}_{{s}{c}{o}{r}{e}}\)

\(\:{M}{C}{C}\)

Epoch—500

Class 0

99.02

98.06

99.03

98.54

97.81

Class 1

99.24

99.22

98.50

98.86

98.30

Class 2

99.00

98.63

98.37

98.50

97.75

Average

99.09

98.64

98.63

98.63

97.95

Epoch—1000

Class 0

98.74

97.69

98.56

98.12

97.18

Class 1

99.25

98.97

98.77

98.87

98.30

Class 2

98.65

98.31

97.63

97.97

96.96

Average

98.88

98.32

98.32

98.32

97.48

Epoch—1500

Class 0

98.92

98.08

98.68

98.38

97.57

Class 1

99.27

99.04

98.78

98.91

98.36

Class 2

98.82

98.40

98.06

98.23

97.35

Average

99.00

98.51

98.51

98.51

97.76

Epoch—2000

Class 0

99.01

98.07

98.98

98.52

97.78

Class 1

99.30

99.12

98.79

98.95

98.43

Class 2

98.93

98.69

98.10

98.40

97.60

Average

99.08

98.63

98.62

98.62

97.94

Epoch—2500

Class 0

99.34

98.93

99.09

99.01

98.52

Class 1

99.55

99.34

99.32

99.33

98.99

Class 2

99.39

99.16

99.02

99.09

98.63

Average

99.43

99.14

99.14

99.14

98.72

Epoch—3000

Class 0

98.93

97.97

98.85

98.41

97.61

Class 1

99.24

98.93

98.78

98.85

98.28

Class 2

98.83

98.61

97.87

98.24

97.36

Average

99.00

98.50

98.50

98.50

97.75