Visualizing linear and logistic models
As with linear regressions, regplot() will draw model predictions for a logistic regression without you having to worry about the modeling code yourself. To see how the predictions differ for linear and logistic regressions, try drawing both trend lines side by side. Spoiler: you should see a linear (straight line) trend from the linear model, and a logistic (S-shaped) trend from the logistic model.
churn is available.
Deze oefening maakt deel uit van de cursus
Introduction to Regression with statsmodels in Python
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Draw a linear regression trend line and a scatter plot of time_since_first_purchase vs. has_churned
sns.regplot(____,
line_kws={"color": "red"})
plt.show()