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Soft sensor development framework was comprised by the following five steps: (i) statistical analysis and dataset preprocessing; (ii) model input selection using the Pearson’s correlation coefficient and Recursive Feature Elimination method (RFE); (iii) model development, including cross-validation for metrics tuning and model calibration; (iv) model testing for ML algorithms to compare the prediction accuracy; and (v) final soft sensor models for COD, TSS, and E. coli prediction.
