Bibliography (9):

1. M5 accuracy competition: Results, findings, and conclusions

2. Kaggle forecasting competitions: An overlooked learning opportunity

3. CatBoost: unbiased boosting with categorical features

4. Tree Induction versus Logistic Regression: A Learning-Curve Analysis

5. Crowd prediction systems: Markets, polls, and elite forecasters

6. Evidence on good forecasting practices from the Good Judgment Project

7. Wikipedia Bibliography:

   1. https://en.wikipedia.org/wiki/Gradient_boosting#Gradient_tree_boosting  :

      https://en.wikipedia.org/wiki/Gradient_boosting#Gradient_tree_boosting

   2. https://en.wikipedia.org/wiki/Makridakis_Competitions#Fifth_competition_(2020)  :

      https://en.wikipedia.org/wiki/Makridakis_Competitions#Fifth_competition_(2020)

   3. Random forest