Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
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DOI: 10.1007/s00180-022-01207-6
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Cited by:
- Benjamin Avanzi & Greg Taylor & Melantha Wang & Bernard Wong, 2023. "Machine Learning with High-Cardinality Categorical Features in Actuarial Applications," Papers 2301.12710, arXiv.org.
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Keywords
Supervised machine learning; Benchmark; High-cardinality categorical features; Target encoding; Dummy encoding; Generalized linear mixed models;All these keywords.
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