Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features - Pargent, Florian; Pfisterer, Florian; Thomas, Janek; Bischl, Bernd (Computational statistics, 2022)
Keywords: Algorithms; Best practice; Data analysis; Economic Theory/Quantitative Economics/Mathematical Methods; Machine learning; Mathematics and Statistics; Original Paper; Performance prediction; Probability and Statistics in Computer Science; Probability Theory and Stochastic Processes; Statistics; Support vector machines; Benchmark; Dummy encoding; Supervised machine learning; Generalized linear mixed models; Target encoding; High-cardinality categorical features