Results of the model fit using summary()
In the previous exercise you fitted a logistic regression model wells_fit using glm() and .fit(). The second step after fitting the model is to examine the model results. To do this you will use the .summary() function, which provides an overview of the model coefficients and how well they fit, along with several other statistical measures.
In the lessons to come, you will learn how to interpret the model output and the details of the given statistical measures and how to interpret them.
The model wells_fit has been preloaded in the workspace.
This is a part of the course
“Generalized Linear Models in Python”
Exercise instructions
- Using
summary(), view the model summary fromwells_fit.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# View the results of the wells_fit model
____(____.____)