title: How does Alpha impact the logloss and prediction in XGBOOST?
body: <p>I am studying XGBOOST on how the most tuned parameters (eta, max depth, n estimators, lambda, gamma, min child weight/cover) impact the tree structure and the prediction. I need help in details understanding how alpha impact the logloss function, the trees, and the prediction? I got the rest of the parameters figured out except alpha. Thanks in advance.</p>