Classification of air pollutants caused by e-waste and health risk evaluation

Air Pollution is one of the serious problems in society, and it is hazardous for human health. E-waste disposal is the primary reason for air pollution. When the pollutant present in the air crosses the limit, it may lead to death in human. This paper focuses on the analysis of a range of air pollutants and the database is attained from the Central Pollution Control Board. In this paper, we used decision tree classifier as well as naive bayes classifier for predicting health risk due to air pollutants and the classification is done based on air quality index. The result shows that the decision tree produces an accuracy of 97.2% and naive bayes classifier have an accuracy of about 97.9%, which is more than that of the decision tree.