🎉Community Raffle - Win $25

An exclusive raffle opportunity for active members like you! Complete your profile, answer questions and get your first accepted badge to enter the raffle.
Join and Win

question marks in linear regression output

User: "AD2019"
New Altair Community Member
Updated by Jocelyn
I ran a linear regression model with 18 independent variables and feature selection turned off.  For some of the independent variables there were question marks for the standard error of the estimate, and therefore for the t-statistic and p-value for the coefficient.  I ran the mode again with feature selection turned on and got the same question marks.  What do these question marks mean?  Thay cannot have anything to do with missing values as the regression would not have run to completion in that case.  I am baffled about what these "?" symbols might mean.  Help..... 

Find more posts tagged with

Sort by:
1 - 2 of 21
    User: "varunm1"
    New Altair Community Member
    Accepted Answer
    Updated by varunm1
    Hello @sgenzer and @AD2019

    I tried to look at H2O documentation on linear regression, unfortunately, I found none. For GLM to provide p-values, there is a mandatory parameter selection that H2O recommends to get values without "?" (Unknown)

    1. You should uncheck the " Use Regularization" option.
    2. You should select "Add intercept"
    3. You should select " compute p-values"
    4. You should select " remove collinear columns"

    If these are set then you will get the p values, std.error, etc without question marks. You will get question marks in this case only when the coefficient is 0.

    I will see if I can find any information on linear regression.
    User: "sgenzer"
    Altair Employee
    Accepted Answer
    thank you @varunm1!