# How to get p-value and confident interval in LogisticRegression with sklearn?

I am building a multinomial logistic regression with sklearn (LogisticRegression). But after it finishes, how can I get a p-value and confident interval of my model? It only appears that sklearn only provides coefficient and intercept.

Thank you a lot.

One way to get confidence intervals is to bootstrap your data, say, $B$ times and fit logistic regression models $m_i$ to the dataset $B_i$ for $i = 1, 2, ..., B$. This gives you a distribution for the parameters you are estimating, from which you can find the confidence intervals.