my friend, XGBoost is not a neural net-based method, it represents a best-of-breed for an alternative family of methods.
"While the XGBoost model often achieves higher accuracy than a single decision tree, it sacrifices the intrinsic interpretability of decision trees. For example, following the path that a decision tree takes to make its decision is trivial and self-explained, but following the paths of hundreds or thousands of trees is much harder."
Unless the parent edited their comment, you misread it, because they are specifically saying XGBoost is not a neural network:
> Here though the keywords are "ensemble machine learning" and "Bayesian" - they could have used a neural net for the machine learning but most likely it is just XGBoost or similar.
I.e. they could have used a neural network but they probably used something else, that something else being XGBoost.
"While the XGBoost model often achieves higher accuracy than a single decision tree, it sacrifices the intrinsic interpretability of decision trees. For example, following the path that a decision tree takes to make its decision is trivial and self-explained, but following the paths of hundreds or thousands of trees is much harder."
https://en.wikipedia.org/wiki/XGBoost