URL: https://xgboost.ai/
Proper Citation: XGBoost (RRID:SCR_021361)
Description: Open source software tool as library for implementation of gradient boosting with various machine learning algorithms.Optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.Supports regression, classification, ranking and user defined objectives.
Synonyms: eXtreme Gradient Boosting
Resource Type: software library, software resource, software toolkit
Defining Citation: DOI:10.1145/2939672.2939785
Keywords: Machine learning, gradient boosting, supports regression, supports classification, supports ranking, tree boosting system
Availability: Free, Available for download, Freely available
Resource Name: XGBoost
Resource ID: SCR_021361
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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
