data size requirements for XGBoost This is a quick question. If I compare neural network and random forest, the data size requirement is huge in neural network, but a decision tree or random forest can work with less number of records too.
Does any such problem occurs with XGBoost as well? Does it also need a lot of data so that it can go in multiple iterations to reduce the error term?
No. Xgboost is more like traditional ML algorithm. It doesn't need too much data and it also perform better than almost all ML algorithm