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| from statsmodels.discrete.discrete_model import Logit | |
| # add an intercept since statsmodels does not | |
| my_data['Intercept'] = 1 | |
| # fit the logistic regression model using MLE | |
| mle_mod = Logit(my_data[target], my_data[['Intercept'] + vars_of_interest]) | |
| mle_mod_fit = mle_mod.fit(disp=False) | |
| # print the summary | |
| print(mle_mod_fit.summary()) |
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