Salahudin Mohamed Ibrahim

Do Sophisticated Forecasting Models Beat Naive Baselines? A Reproducible Benchmark with Statistical Significance Testing

Time-series forecasting is a foundational task in data science, yet reported improvements over naive baselines are frequently small, dataset-dependent, and rarely subjected to formal significance testing. We present a reproducible benchmark comparing three families of forecasting models — naive baselines, classical sta...