LLpowershap: logistic loss-based automated Shapley values feature selection method

Abstract Background Shapley values have been used extensively in machine learning, not only to explain black box machine learning models, but among other tasks, also to conduct model debugging, sensitivity and fairness analyses and to select important features for robust modelling and for further fo...

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Principais autores:	Iqbal Madakkatel, Elina Hyppönen
格式:	Artigo
語言:	Inglês
出版:	BMC 2024-10-01
叢編:	BMC Medical Research Methodology
主題:	Feature selection Shapley values Interventional TreeSHAP Logistic loss Simulation Benchmark
在線閱讀:	https://doi.org/10.1186/s12874-024-02370-8
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