Table 10 Mean of Performance (in %).

From: Comparative analysis of machine learning models for detecting water quality anomalies in treatment plants

Performance Parameters

HML [14]

ANN [15]

HDFM [16]

IMLM [19]

DLA [20]

ASSA [22]

MLF [24]

TDLM [25]

MOOM [27]

Accuracy (A)

22.88

27.38

20.43

19.94

18.43

20.43

18.06

16.93

9.18

Precision (P)

43.65

27.56

31.85

41.79

19.16

31.85

11.03

14.18

16.02

Recall (R)

41.33

23.81

28.69

38.99

13.64

28.69

7.15

13.59

14.85

CSI

39.29

21.84

27.36

36.89

11.47

27.36

3.74

7.20

8.79

MCC

24.35

21.71

16.29

21.51

12.04

16.29

4.75

9.04

16.53

Delta-P

45.76

28.96

33.98

43.61

19.48

33.98

11.65

15.02

16.77

FMI

52.40

32.80

30.71

50.76

24.58

30.71

5.41

17.80

11.23