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.
Questo esercizio fa parte del corso
Introduction to Regression with statsmodels in Python
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# 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()