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cs.LG2023
Variable Importance in High-Dimensional Settings Requires Grouping
Ahmad Chamma, Bertrand Thirion, Denis A. Engemann
Explaining the decision process of machine learning algorithms is nowadays crucial for both model's performance enhancement and human comprehension. This can be achieved by assessi…
cs.LG2023★ 6 cited
Statistically Valid Variable Importance Assessment through Conditional Permutations
Ahmad Chamma, Denis A. Engemann, Bertrand Thirion
Variable importance assessment has become a crucial step in machine-learning applications when using complex learners, such as deep neural networks, on large-scale data. Removal-ba…