[Pandabob]

While I don't have firsthand experience with these models, I recently discussed this topic with a friend who has used tree-based models like XGBoost for time series analysis. They noted that transformer-based architectures tend to yield decent performance on time series tasks with relatively little effort compared to tree models.

From what I understood, tree-based models can usually outperform transformers when given sufficient parameter tuning. However, models like TimeGPT offer decent performance without extensive tuning, making them an attractive option for quicker implementations.