URL: https://github.com/slundberg/shap
Proper Citation: SHapley Additive ExPlanations (RRID:SCR_021362)
Description: Software tool as unified framework for interpreting predictions of machine learning models. Used to explain output of any machine learning model. Connects optimal credit allocation with local explanations using classic Shapley values from game theory and their related extensions.
Abbreviations: SHAP
Resource Type: software resource
Keywords: Interpretable machine learning, interpreting predictions, machine learning models
Availability: Free, Available for download, Freely available
Resource Name: SHapley Additive ExPlanations
Resource ID: SCR_021362
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
