Gradient boosting weights analysis

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

HI All,


i am working on a small data set of 250 rows and 17 features from chemical industry and expert people would like to know the most infuential parameters for the target based on the given data.


I got the weights from Gradient boosting algorithm but,i would like to know is this weights true ? with what confidence i can trust these weights? According to the experts there is one feature which was given low weigth which they think that should be given high weight .


could you please help me how can i trust my weights from gradient boosting.











  • Options
    Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,635 Unicorn

    Trusting your model is why you conduct validations.  It is not uncommon for a machine learning algorithm to come up with a solution that doesn't correspond to expert intuition.  

    You can also try building a model with and without the attribute in question to see whether it has much impact on the results. 


    Brian T.
    Lindon Ventures 
    Data Science Consulting from Certified RapidMiner Experts
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