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| {{Infobox nodebasic
| | #Redirect [[XGBoost]] |
| |nodename=XGBoost
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| |nodeimage=Boosting_XGBoost.png
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| |icon=Boosting_XGBoost.svg
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| |simpleicon=Boosting_XGBoost_Pure.svg
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| |developer=Dev.Team-DPS
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| |productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用
| |
| |productionstatedesc=在[[Update:DecisionLinnc 1.0.0.8|V1.0]]部署
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| |nodeenglishname=[[Has english name::Boosting_XGBoost]]
| |
| |abbreviation=[[Has abbreviation::XGBoost]]
| |
| |funcmaincategory=机器学习
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| |funcsubcategory=[[DataML Lv1 Cat::分类训练器]]
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| |nodecategory=数据挖掘
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| |nodeinterpretor=Python
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| |nodeshortdescription=<p>XGBoost（eXtreme Gradient Boosting）是一种梯度提升树算法的变体，它在梯度提升树的基础上进行了改进和优化。</p><p>XGBoost在各种机器学习竞赛和实际应用中表现优秀，被广泛应用于分类、回归和排名等问题。</p>
| |
| |nodeinputnumber=2
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| |nodeoutputnumber=3
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| |nodeloopsupport=否
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| |nodeifswitchsupport=否
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| |nodeavailableplotlist=nodenoplotoutput
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| |nodeavailabletablelist=Table_For_Downstream
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| |nodeconfiguration=VariableList;DropMenu;Text
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| |nodeinputports=WorkFlow-Control ➤;Transfer-Table ■
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| |nodeoutputports=WorkFlow-Control ➤;Transfer-Model ▶;Transfer-Table ■
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| |statsapewikiurl=https://wiki.statsape.com/XGBoost
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| |previousnode=[[AdaBoost]]
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| |nextnode=[[CatBoost]]
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| }}
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| {{Navplate AlgorithmNodeList}}
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| | |
| [[Category:分类训练器]]
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