LSTM outperforms ARIMA in time series forecasting accuracy and efficiency.
Forecasting time series data is crucial in economics and business. A study compared ARIMA and LSTM models for this task. ARIMA is commonly used but has limitations, while LSTM shows promise in handling irregular data. The research found that LSTM is more accurate than ARIMA with a shorter dataset, but ARIMA performs better with a longer dataset. Additionally, ARIMA is faster than LSTM in terms of run-time performance.