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

Our results demonstrate that LLpowershap is a viable wrapper feature selection method that can be used for feature selection in large biomedical datasets and other settings.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2024-10-24
DOI
https://doi.org/10.1186/s12874-024-02370-8
Citations
7
Primary Topic
Explainable Artificial Intelligence (XAI)
Type
article
Field-Weighted Citation Impact
2.43

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article

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

Elina Hyppönen, Iqbal Madakkatel
7 citations
BMC Medical Research Methodology
Explainable Artificial Intelligence (XAI)
2.43
article

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

Elina Hyppönen, Iqbal Madakkatel
article en
7 citations

Abstract

Our results demonstrate that LLpowershap is a viable wrapper feature selection method that can be used for feature selection in large biomedical datasets and other settings.

BMC Medical Research MethodologyVol. 24(1)
University of South Australia (AU), South Australian Health and Medical Research Institute (AU)
National Health and Medical Research Council
Openalex Percentile: Top 9%
Explainable Artificial Intelligence (XAI)
2.43
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