Plot | XGBoosting

Examples	Tags
Bagging Ensemble With XGBoost Models	Ensemble Prediction Plot
Evaluate XGBoost Performance with Precision-Recall Curve	Evaluate Metrics Plot
Evaluate XGBoost Performance with ROC Curve	Evaluate Metrics Plot
Evaluate XGBoost Performance with the Confusion Matrix	Evaluate Metrics Plot
Explain XGBoost Predictions with LIME	Explainability Interpretability Plot
Explain XGBoost Predictions with SHAP	Explainability Interpretability Plot
How to Use xgboost.plot_importance()	Importance Plot
How to Use xgboost.plot_tree()	Plot
Plot Out-of-Bag (OOB) Error for XGBoost	Inference OOB Plot
Stacking Ensemble With One XGBoost Base Model (Heterogeneous Ensemble)	Ensemble Prediction Plot
Stacking Ensemble With XGBoost Base Models (Homogeneous Ensemble)	Ensemble Prediction Plot
Stacking Ensemble With XGBoost Meta Model (Final Model)	Ensemble Prediction Plot
Tune XGBoost "alpha" Parameter	Tune Parameters Plot
Tune XGBoost "colsample_bylevel" Parameter	Tune Parameters Plot
Tune XGBoost "colsample_bynode" Parameter	Tune Parameters Plot
Tune XGBoost "colsample_bytree" Parameter	Tune Parameters Plot
Tune XGBoost "early_stopping_rounds" Parameter	Plot Regularization Early Stopping Tune
Tune XGBoost "eta" Parameter	Tune Parameters Plot
Tune XGBoost "gamma" Parameter	Tune Parameters Plot
Tune XGBoost "learning_rate" Parameter	Tune Parameters Plot
Tune XGBoost "max_bin" Parameter	Tune Parameters Plot
Tune XGBoost "max_delta_step" Parameter	Tune Parameters Plot
Tune XGBoost "max_depth" Parameter	Tune Parameters Plot
Tune XGBoost "max_leaves" Parameter	Tune Parameters Plot
Tune XGBoost "min_child_weight" Parameter	Tune Parameters Plot
Tune XGBoost "min_split_loss" Parameter	Tune Parameters Plot
Tune XGBoost "n_estimators" Parameter	Tune Parameters Plot
Tune XGBoost "n_jobs" Parameter	Tune Parameters Parallel Plot
Tune XGBoost "nthread" Parameter	Tune Parameters Parallel Plot
Tune XGBoost "num_parallel_tree" Parameter	Tune Parameters Plot
Tune XGBoost "reg_alpha" Parameter	Tune Parameters Plot
Tune XGBoost "reg_lambda" Parameter	Tune Parameters Plot
Tune XGBoost "subsample" Parameter	Tune Parameters Plot
Tune XGBoost "tree_method" Parameter	Tune Parameters Plot
Voting Ensemble With an XGBoost Model	Ensemble Prediction Plot
What is a Feature Importance	Background Importance Plot
Which XGBoost Feature Importance to Use	Background Importance Plot
XGBClassifier Plot Feature Importance With Feature Names	Importance Plot
XGBoost Best Feature Importance Score	Importance Plot
XGBoost Compare "n_jobs" vs "nthread" Parameters	Parameters Parallel Plot
XGBoost Comparing Model Configuration with Box Plots	Evaluate Significance Plot
XGBoost Comparing Models with Box Plots	Evaluate Significance Plot
XGBoost Configure Multiple Metrics With "eval_metric" Parameter	Parameters Plot
XGBoost CPU Usage Below 100% During Training	Performance Parallel Plot
XGBoost Default Evaluation Metric "eval_metric" For Objectives	Parameters Plot
XGBoost Feature Importance Unstable	Importance Plot
XGBoost Feature Importance with SHAP Values	Importance Plot
XGBoost for Multi-Step Univariate Time Series Forecasting with MultiOutputRegressor	Train Time Series Plot
XGBoost for Time Series Plot Actual vs Predicted	Plot Prediction Time Series
XGBoost Horizontal Ensemble (via "iteration_range" Parameter)	Ensemble Prediction Plot
XGBoost Model Performance Improves With More Data	Data Plot
XGBoost Permuation Feature Importance	Importance Plot
XGBoost Plot Feature Importance With Feature Names	Importance Plot
XGBoost Plot Learning Curve	Plot Inference Overfitting
XGBoost Plot Top-10 Most Important Features	Importance Plot
XGBoost Plot Validation Curve	Plot Inference Overfitting
XGBoost plot_importance() With Feature Names	Importance Plot
XGBoost Prediction Interval using a Bootstrap Ensemble	Plot Confidence Ensemble
XGBoost Prediction Interval using a Monte Carlo Ensemble	Plot Confidence Ensemble
XGBoost Prediction Interval using Quantile Regression	Plot Confidence Regression
XGBoost Save Feature Importance Plot to File	Importance Plot
XGBoost Stable Predictions Via Ensemble of Final Models	Ensemble Prediction Plot
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
XGBRegressor Plot Feature Importance With Feature Names	Importance Plot