Machine Learning for Air Quality Prediction: Random Forest Classifier

Abstract

Air Pollution is the contamination of air due to the presence of substances in the atmosphere that are major issue to human life as well as to the other living organisms. Air quality is the result of the composite interactions of many elements, including the chemical reactions, meteorological parameters, and emissions from natural & anthropogenic (man-kind). The study implies that the forecasting performance differs across diverse regions & cities in India. Utilization of the Random Forest algorithm to anticipate the air quality index bucket is done in multiple locations across India annually, depending on air pollutants like PM2.5, PM10, NOx, CO, SO2, O3, NH3, and NO2.