Timeline for Logistic Regression: Scikit Learn vs Statsmodels
Current License: CC BY-SA 3.0
5 events
| when toggle format | what | by | license | comment | |
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| Jan 4, 2021 at 2:29 | comment | added | rmwenz |
@desertnaut you're right statsmodels doesn't include the intercept by default. Here the design matrix X returned by dmatrices includes a constant column of 1's (see output of X.head()). Then even though both the scikit and statsmodels estimators are fit with no explicit instruction for an intercept (the former through intercept=False, the latter by default) both models effectively have an intercept, which can be seen by inspecting the outputs carefully.
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| May 26, 2020 at 12:44 | comment | added | desertnaut | It is the exact opposite actually - statsmodels does not include the intercept by default. See the SO threads Coefficients for Logistic Regression scikit-learn vs statsmodels and scikit-learn & statsmodels - which R-squared is correct?, as well as the answer below. | |
| Sep 7, 2017 at 19:11 | review | Late answers | |||
| Sep 7, 2017 at 19:23 | |||||
| Sep 7, 2017 at 19:01 | review | First posts | |||
| Sep 7, 2017 at 19:34 | |||||
| Sep 7, 2017 at 18:52 | history | answered | brian dalessandro | CC BY-SA 3.0 |