PREDICTION OF AIR QUALITY INDEX USING DECISION TREE WITH DISCRETIZATION

Air quality is indicated by the Quality Index (AQI). Prediction or classification of AQI an important research issue because it can impact many factors, such as environment, health, transportation, agriculture, plantations, tourism, and education. The purpose this study to predict using a decision tree. results calculating performance tree method that implements discretization technique show very good at predicting air quality, in particular Average Accuracy value 99.05%, Macro Precision 78.59%, Recall 77.46%.