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LMU Munich, Munich Center for Machine Learning (MCML)
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SAILS reveals the functional forms of feature interactions in machine learning models, transforming how we interpret model behavior beyond mere detection.
Forget holdout data for feature effect estimation: training data's larger sample size usually wins, and cross-validation can further reduce model variance.
