Dhaka, Dec. 19 -- Accurate tax collection forecasts are crucial for effective fiscal planning, budget stability, and overall macroeconomic health.

In Bangladesh, where revenue performance significantly influences public investment, social programs, and debt management, improving these forecasts can help minimize fiscal surprises and enable more informed policymaking.

Machine learning (ML) provides tools for modeling complex, nonlinear relationships in fiscal data and for incorporating high-frequency, alternative datasets (e.g., trade flows, electronic transactions).

ML methods like tree ensembles, gradient boosting, and neural networks (including LSTM/GRU for sequences) are designed to learn nonlinear mappings and interactions from dat...