Concept Tree: High-Level Representation of Variables for More Interpretable Surrogate Decision Trees

no code implementations • 4 Jun 2019 • Xavier Renard, Nicolas Woloszko, Jonathan Aigrain, Marcin Detyniecki

Interpretable surrogates of black-box predictors trained on high-dimensional tabular datasets can struggle to generate comprehensible explanations in the presence of correlated variables.