AINeutralarXiv – CS AI · 3h ago6/10
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Beyond Model Ranking: Predictability-Aligned Evaluation for Time Series Forecasting
Researchers introduce a novel predictability-aligned evaluation framework for time series forecasting that separates model performance from data's inherent unpredictability. The framework reveals that complex AI models excel with difficult-to-predict data while linear models perform comparably on more predictable tasks, suggesting current benchmark rankings conflate model capability with task difficulty.