Influential Parameters

k_vishnu772k_vishnu772 Member Posts: 34 Contributor I
edited December 2018 in Help

Hi All,


I have small doubt regarding the weights coming from the gradient boosting algorithm.i have a first model with small data set and got the weights from gradient boosting for one feature lets say attribute 1 ( which i am interested) the weight is low and again after some days i got a new data set where i have some additinal data and i when ran the model i got high weight for attribute 1 .Now i want to know what change in the new data made that change in weight and it became high influencing parameter. Do i need to look at data or is there any way i can trouble shoot this to figure out ?






  • Options
    sgenzersgenzer Administrator, Moderator, Employee, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM Moderator Posts: 2,959 Community Manager

    hi @k_vishnu772 - we'd be happy to help but please post your XML and your data set so we can replicate what you're doing.



Sign In or Register to comment.