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Towards Benchmarking Feature Type Inference for AutoML Platforms

Summary: First benchmark for ML-driven feature type inference in AutoML; presents a 9,921-sample, 9-class labeled dataset to standardize evaluation. ML-based typing yields 14% avg lift (up to 38%), beats industrial tools on 47/60 downstream models, and the dataset, models, and leaderboards are publicly released. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6165
Venue
SIGMOD
Year
2021
Pagerank
5.6074743e-05
Overall Rank
5,242 | 63.54%
DOI
10.1145/3448016.3457274

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