Jing Cui

Warning Cairo Before the Air Turns Dangerous: Forecasting High-AQI Episodes for Citizens and City Governments

The ProblemAir-quality forecasts exist to warn citizens before pollution reaches dangerous thresholds. However, the machine-learning literature overwhelmingly evaluates these models using Mean Absolute Error (MAE). Because air quality is highly autocorrelated, naïve persistence m...

Warning Cairo Before the Air Turns Dangerous: Forecasting High-AQI Episodes for Citizens and City Governments

The ProblemAir-quality forecasts exist to warn citizens before pollution reaches dangerous thresholds. However, the machine-learning literature overwhelmingly evaluates these models using Mean Absolute Error (MAE). Because air quality is highly autocorrelated, naïve persistence m...