Table 1 Eclipsing rates of WQI function categories in water quality analysis.

From: Optimizing water quality index using machine learning: a six-year comparative study in riverine and reservoir systems

Model

River (%) / reservoir (%)

RS

RR

ROC

EQ

r

Expert weight

No weight

NSF

24.83 / 13.80

23.61 / 13.80

22.66 / 14.35

27.69 / 17.31

26.65 / 16.39

  

WQM

27.69 / 14.81

27.08 / 14.81

26.30 / 15.19

27.69 / 17.13

27.69 / 17.78

  

BMWQI

18.66 / 8.80

17.71 / 8.80

17.62 / 4.35

20.31 / 13.98

19.53 / 10.65

  

WHA

20.92 / 12.69

20.14 / 12.69

20.05 / 10.37

22.14 / 15.37

21.79 / 13.80

  

WQIw

     

27.60 / 13.80

 

CCME

      

27.69 / 21.67

WQIp

      

27.60 / 17.31

WQIa

      

23.26 / NA

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