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    Upvotes23answered Apr 12, 2019 at 16:06

    You can use statsmodels

    import statsmodels.api as sm
    logit_model=sm.Logit(y_train,X_train)
    result=logit_model.fit()
    print(result.summary())

    The results would be something like this

    Logit Regression Results
    ==============================================================================
    Dep. Variable: y No. Observations: 406723
    Model: Logit Df Residuals: 406710
    Method: MLE Df Model: 12
    Date: Fri, 12 Apr 2019 Pseudo R-squ.: 0.001661
    Time: 16:48:45 Log-Likelihood: -2.8145e+05
    Content Under CC-BY-SA license
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