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TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Summary: TFB: automated benchmark addressing domain coverage and method bias via time-series characterization across 10 domains and a unified, flexible evaluation pipeline. Evaluates 21 univariate (8,068 series) and 14 multivariate (25 datasets) methods for fair cross-paradigm comparisons and dataset-aware selection. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13464
Venue
VLDB
Year
2024
Pagerank
9.0742746e-05
Overall Rank
2,298 | 84.02%
DOI
10.14778/3665844.3665863

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