Created
October 16, 2017 01:27
-
-
Save rspeare/8363c2c055984e155943bc83cb26d890 to your computer and use it in GitHub Desktop.
P values for sklearn logistic regression
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| # test |
please give me response as soon as possible.
Hey @Akanksha594 , sorry for the delay. A singular matrix normally means that you are regressing on features that are correlated or perhaps have more features than training points. (Both of which can be solved with regularization) Are you using a regularization with the logistic regression? Maybe some insight into the data you're using, or a reproducible example
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
i am working on lending club loan data set where i have to work on credit risk analysis for that i am applying logistic regression and also have to use p value code. i have applied same code as you have mentioned on git hub but i am getting error that is linalgerror: singular matrix. So can you provide me solution for this. I will be thankful to you.