methodology-16
Automated Feature Engineering
3260 papers • 126 benchmarks • 313 datasets
Automated feature engineering improves upon the traditional approach to feature engineering by automatically extracting useful and meaningful features from a set of related data tables with a framework that can be applied to any problem.
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