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Open access Sep 2026

Do pollutant interaction terms improve water quality index classification? An empirical study using support vector machine and random forest on Malaysian river data

This study examines whether engineered interaction effects among the six main parameters of the Malaysian Water Quality Index (WQI) can improve multi-class water quality classification. River monitoring data from the Department of Environment from 2020 to 2022 were pre-processed and statistically validated prior to mod...

Najihah Abdol Raof, S. S. Januri, S. Zahari · 0 citations

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