XGBoost

GPTKB entity

Predicate	Object
gptkbp:instance_of	gptkb:machine_learning
gptkbp:based_on	gradient boosting framework
gptkbp:developed_by	gptkb:Tianqi_Chen
gptkbp:first_released	gptkb:2014
gptkbp:has_applications_in	healthcare finance marketing e-commerce natural language processing image classification time series forecasting anomaly detection
gptkbp:has_feature	early stopping regularization feature importance custom objective functions handling missing values
gptkbp:has_function	learning rate gamma lambda alpha n_estimators colsample_bytree max depth subsample
gptkbp:has_library	gptkb:xgboost gptkb:xgboost-julia gptkb:xgboost-r gptkb:xgboost4j-spark xgboost-pyspark xgboost-scala xgboost4j
https://www.w3.org/2000/01/rdf-schema#label	XGBoost
gptkbp:is_compatible_with	gptkb:Java gptkb:Python gptkb:R gptkb:Julia gptkb:Scala
gptkbp:is_popular_in	data science community
gptkbp:language	gptkb:C++
gptkbp:performance	F1 score accuracy log loss AUC R-squared mean absolute error mean squared error
gptkbp:supports	parallel processing cross-validation tree pruning
gptkbp:used_for	gptkb:scoring_system gptkb:Biology regression
gptkbp:used_in	Kaggle competitions
gptkbp:bfsParent	gptkb:Google_Cloud_AI_Platform_Prediction gptkb:Dask gptkb:Google_Cloud_Machine_Learning_Engine gptkb:Seldon_Core gptkb:AWS_Sage_Maker gptkb:MLflow gptkb:Google_Cloud_AI_Platform_Pipelines gptkb:Google_Cloud_AI_Platform_Prediction_Jobs
gptkbp:bfsLayer	5