Prediction | XGBoosting

Helpful examples for making predictions with XGBoost models.

Making predictions with XGBoost models involves using a trained XGBoost model to input new data and generate output values, such as classifications or regression predictions, based on the learned patterns from the training data.

Examples	Tags
Bagging Ensemble With XGBoost Models	Ensemble Prediction Plot
Deploy XGBoost Model As Service with FastAPI	Deploy Inference Prediction
Deploy XGBoost Model As Service with Flask	Deploy Inference Prediction
Fit Final XGBoost Model and Predict on Out-Of-Sample Data	Prediction Inference
Fit Final XGBoost Model With Early Stopping and Predict on Out-Of-Sample Data	Prediction Inference Early Stopping
Improve XGBoost Model Accuracy (Skill)	Prediction Tune
Predict Calibrated Probabilities with XGBoost	Prediction Inference Calibration
Predict Class Labels with XGBoost	Prediction Inference Classification
Predict Class Probabilities with XGBoost	Prediction Inference Classification
Predict Integer Values with XGBoost Regression	Prediction Inference Regression
Predict Numeric Values with XGBoost Regression	Prediction Inference Regression
Predict with XGBoost's Native API	Prediction Inference
Predict with XGBoost's scikit-learn API	Prediction Inference
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
Thread-Safe Predictions with XGBoost	Prediction Inference Parallel
Voting Ensemble With an XGBoost Model	Ensemble Prediction Plot
XGBoost booster.predict() vs XGBClassifer.predict()	Prediction Inference Classification
XGBoost booster.predict() vs XGBRegressor.predict()	Prediction Inference Regression
XGBoost Configure The Number of BLAS Threads	Prediction Inference Parallel
XGBoost Configure The Number of OpenMP Threads	Prediction Inference Parallel
XGBoost Convert Predicted Probabilties to Class Labels	Prediction Inference Classification
XGBoost Early Stopping Get Best Model	Regularization Early Stopping Prediction
XGBoost for Time Series Plot Actual vs Predicted	Plot Prediction Time Series
XGBoost for Time Series Predict Multiple Time Steps	Prediction Inference Time Series
XGBoost for Time Series Predict One Time Step	Prediction Inference Time Series
XGBoost for Time Series Predict Out-Of-Sample	Prediction Inference Time Series
XGBoost Horizontal Ensemble (via "iteration_range" Parameter)	Ensemble Prediction Plot
XGBoost Incremental Round Ablation via "iteration_range"	Train Incremental Prediction
XGBoost Model Slicing	Prediction Inference
XGBoost Multi-Core Training and Prediction	Prediction Train Parallel
XGBoost Multiple CPUs for Training and Prediction	Prediction Train Parallel
XGBoost Multithreaded Training and Prediction	Prediction Train Parallel
XGBoost Parallel Prediction With a Process Pool (multiprocessing)	Prediction Inference Parallel
XGBoost Parallel Prediction With a Process Pool and Shared Memory	Prediction Inference Parallel
XGBoost Parallel Prediction With a Thread Pool (threading)	Prediction Inference Parallel
XGBoost Single-Threaded Training and Prediction (no threads)	Prediction Train Parallel
XGBoost Stable Predictions Via Ensemble of Final Models	Ensemble Prediction Plot