Visualizing multiple explanatory variables
Plotting has similar issues as with the linear regression case: it quickly becomes difficult to include more numeric variables in the plot. Here you'll look at the case of two numeric explanatory variables, and the solution is basically the same as before: use color to denote the response.
Here there are only two possible values of response (zero and one), both in the actual dataset and the predicted dataset.
churn and prediction_data are available.
This exercise is part of the course
Intermediate Regression with statsmodels in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Using churn, plot recency vs. length of relationship, colored by churn status
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# Show the plot
plt.show()