问题
I am trying to explore the working of Xgboost binary classification as well as for multi-class. In case of binary class, i observed that base_score is considered as starting probability and it also showed major impact while calculating Gain and Cover.
In case of multi-class, i am not able to figure out the importance of base_score parameter because it showed me the same value of Gain and Cover for different(any) values of base_score.
Also i am unable to find out why factor of 2 is there while calculating cover for multi-class i.e. 2*p*(1-p)
Can someone help me on these two parts?
来源:https://stackoverflow.com/questions/62350750/what-is-the-use-of-base-score-in-xgboost-multiclass-working