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Table 4 ML model performance in terms of predicted optimum

From: Machine learning model for the optimization and kinetics of petroleum industry effluent treatment using aluminum sulfate

ML model

Dosage

(g/L)

pH

Settling time

(Minutes)

Residual conc

(mg/L)

Residual turbidity

(NTU)

Actual observation

0.1

10

30

21

9

Support vector machine

0.1

10

30

374

159

Random forest

0.1

10

30

24

10

Decision tree

0.1

10

30

33

14

Polynomial regression

0.1

10

30

101

43