Tools and Resources
- AutoARIMA: Automatically selects the best ARIMA model parameters. Available in the statsforecast library by Nixtla.
- Implementation Example: See
TS_AutoArima.py
in ML_Tools for practical implementation.
Performance Insights
- Evaluation Metrics: Marginal differences in evaluation metrics across ARIMA models may occur due to the volatile nature of the data.