2 papers
stat.ML2026
Provable Recovery of Locally Important Signed Features and Interactions from Random Forest
Kata Vuk, Nicolas Alexander Ihlo, Merle Behr
Feature and Interaction Importance (FII) methods are essential in supervised learning for assessing the relevance of input variables and their interactions in complex prediction mo…
stat.CO2025
Designing a Data Science simulation with MERITS: A Primer
Corrine F Elliott, James PC Duncan, Tiffany M Tang +3
Simulations play a crucial role in the modern scientific process. Yet despite (or due to) this ubiquity, the Data Science community shares neither a comprehensive definition for a…