Performance | XGBoosting

Helpful examples for improving the performance of XGBoost models (e.g. reduce execution time or memory usage during training).

Examples	Tags
Speed-Up XGBoost (Reduce Execution Time)	Performance
XGBClassifier Faster Than CatBoostClassifier	Performance Boosting
XGBClassifier Faster Than GradientBoostingClassifier	Performance Boosting
XGBClassifier Faster Than HistGradientBoostingClassifier	Performance Boosting
XGBClassifier Faster Than LGBMClassifier	Performance Boosting
XGBoost Benchmark Model Training Time	Performance Train Parallel
XGBoost Configure "OMP_NUM_THREADS" for Inference	Parallel Inference Performance
XGBoost Configure "OMP_NUM_THREADS" for Model Training	Parallel Train Performance
XGBoost CPU Usage Below 100% During Training	Performance Parallel Plot
XGBoost Native Categorical Faster Than One Hot and Ordinal Encoding	Performance Data Categorical
XGBoost Releases GIL During Inference (prediction)	Inference Parallel Performance
XGBoost Releases GIL During Training	Train Parallel Performance
XGBoost Releases the Global Interpreter Lock (GIL)	Parallel Performance
XGBoost Report Execution Time	Performance Train Parallel
XGBoost Training Time of Max Depth vs Boosting Rounds	Performance Parallel Plot
XGBoost Training Time of Threads vs Boosting Rounds	Performance Parallel Plot
XGBoost Training Time of Tree Method vs Boosting Rounds	Performance Parallel Plot
XGBoost Use Less Memory	Performance
XGBRegressor faster than CatBoostRegressor	Performance Boosting
XGBRegressor Faster Than GradientBoostingRegressor	Performance Boosting
XGBRegressor Faster Than HistGradientBoostingRegressor	Performance Boosting
XGBRegressor Faster Than LGBMRegressor	Performance Boosting
XGBRFClassifier Faster Than RandomForestClassifier	Performance Random Forest
XGBRFRegressor Faster Than RandomForestRegressor	Performance Random Forest