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October 16, 2017 01:27
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P values for sklearn logistic regression
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| # test |
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
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please give me response as soon as possible.