Why are trees deemed fit for boosting?

Boosting

Following are the reasons that make trees ideal for Boosting:

1. Since Decision Trees uses greedy approach, they’re computationally scalable
2. Robust to outliers
3. Unaffected by missing values
4. Feature scaling is not needed
5. Interpretable for small Boosting models
6. Work with both categorical and continuous variables