A common example happens with ‘overfit’ decision tree models, where a model performs well on training data but fails once the model is placed into production. Overfitting generally ...

XGBoost uses parallel processing for fast performance, handles missing values well, performs well on small datasets, and prevents overfitting ... must understand decision trees, random forests ...