Interpretation on feature groups for tree models
Past years have witnessed impressive successes for tree models, while an important problem is to understand their predictions, especially for some critical applications. Previous interpretation methods for tree models focus on measuring the importance of individual features while ignoring plentiful correlations and structures among multiple features. To solve the problems, a research team led by Wei GAO published their new research on 15 May 2025 in Frontiers of Computer Science co-published by Higher Education Press and Springer Nature. The ...
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