Logistic Regression Statsmodel Summary table

Statsmodel has this summary table unlike Sklearn

Explanation of summary

The dependent variable is ‘duration’. The model used is a Logit regression (logistic in common lingo), while the method

• Maximum Likelihood Estimation (MLE). It has clearly converged after classifying 518 observations.
• The Pseudo R-squared is 0.21 which is within the ‘acceptable region’.
• The duration variable is significant and its coefficient is 0.0051.
• The constant is also significant and equals: -1.70 (p value close to 0)
• High p value, suggests to remove from model, drop one by one, ie Feature Selection.

Specifically a graph such as,

$\mathbb{N}$