Predicting petrol prices in Zambia using machine learning and explainable artificial intelligence under a regulated cost-plus pricing framework
Fuel price volatility presents significant economic and policy challenges in import-dependent economies such as Zambia. This study implements and compares four machine learning models: Ridge Linear Regression (LR), Random Forest (RF), Support Vector Regression (SVR) and Long Short-Term Memory (LSTM), using the Mean Abs...