output
20172026
most citedRegularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features

168 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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stat.ML2021★ 168 cited

Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features

Florian Pargent, Florian Pfisterer, Janek Thomas +1

Since most machine learning (ML) algorithms are designed for numerical inputs, efficiently encoding categorical variables is a crucial aspect in data analysis. A common problem are…