34 citations · 85 across the 11 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 1 cited
Finding Optimal Diverse Feature Sets with Alternative Feature Selection
Jakob Bach
Feature selection is popular for obtaining small, interpretable, yet highly accurate prediction models. Conventional feature-selection methods typically yield one feature set only,…
cs.LG2023★ 3 cited
A benchmark of categorical encoders for binary classification
Federico Matteucci, Vadim Arzamasov, Klemens Boehm
Categorical encoders transform categorical features into numerical representations that are indispensable for a wide range of machine learning models. Existing encoder benchmark st…