Development of Machine Learning models for air pollutants using weka

Abstract All over the world desecration is a major factor for livelihood and plantation. There are various types of desecrations air ( or desecration), water desecration, Industrial noise urban etc. In India Act 1981 prescribes functions Central Desecration Control Board (CPCB) at open level state control board about desecration. 1974 gives prevention 1986 section 2(a) explains under rules, 2000. this paper we collected data pollutants such as particulate matter 2.5 microns less. 10 less, Nitrogen Monoxide, dioxide, chemical compound oxygen nitrogen, Azane Ammonia, Carbon Sulfur dioxide Ozone,Benzene, Toluene, Xylene, AQI, AQI_Bucket. For these variables fitted Machine Learning models Naive Bayes Classifier, CV Parameter Selection, K-nearest neighbours, J48 Hyper Pipes using WEKA software. Detailed accuracy like TP ratio, FP precision, F-measure, ROC area estimated. Using Root average square error, Average absolute examine which best model.