# What are some good models to complement XGBOOST in stacking?

What are some good models to complement XGBOOST via stacking in typical Kaggle datascience competition? I realize XGBoost with well-tuned hyperparamters are generally quite good already.

2. It's better to use a model from another family. So if you are using XGboost, its better to add some model like SVM than a catboost (because you want a model with different approach in solving the data, rather then a model with similar approach).