Bibliography (7):

1. XGBoost: A Scalable Tree Boosting System

2. The true sample complexity of active learning

3. TreeQN & ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning

4. LightGBM: A Highly Efficient Gradient Boosting Decision Tree

5. Why do tree-based models still outperform deep learning on tabular data?

6. Wikipedia Bibliography:

   1. C4.5 algorithm

   2. https://en.wikipedia.org/wiki/Boosting_(machine_learning)  :

      https://en.wikipedia.org/wiki/Boosting_(machine_learning)