Table 2 Classifier outcome of MRELC-SCHO model at 80%TRPHE and 20%TSPHE.

From: Enhancing medical response efficiency in real-time large crowd environments via smart coverage and deep learning for stable ecological health monitoring

Class labels

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

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

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

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

\(\:{{G}}_{{M}{e}{a}{s}{u}{r}{e}}\)

TRPHE (80%)

EH

98.48

98.05

98.93

98.49

98.49

ES

98.59

96.49

98.88

97.67

97.68

EC

99.19

93.15

90.08

91.59

91.60

ED

97.50

94.79

88.33

91.45

91.50

Average

98.44

95.62

94.05

94.80

94.82

TSPHE (20%)

EH

98.53

98.16

98.95

98.55

98.56

ES

98.81

97.12

98.93

98.01

98.02

EC

99.19

92.68

90.32

91.49

91.50

ED

97.71

94.87

89.55

92.13

92.17

Average

98.56

95.71

94.44

95.05

95.06