Interpretable time-series forecasting on the AirPassengers dataset using ARIMA, XGBoost, LIME, and SHAP
time-series xgboost arima rmse lime gradient-boosting interpretability seasonality time-series-forecasting explainable-ai diebold-mariano-test sarima shap mape local-explanations shap-values lag-features global-importance leakage-free
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Updated
Aug 20, 2025 - Jupyter Notebook