Summary:
- This article compares the performance of different machine learning models, including linear regression and XGBoost, on a dataset.
- It explains how linear regression is a simple model that can be used for prediction, but may not capture complex relationships in the data.
- XGBoost, on the other hand, is a more advanced model that can handle complex patterns and often outperforms simpler models like linear regression.