Logistic regression prediction
As with linear regression, the joy of logistic regression is that you can make predictions. Let's step through the prediction flow one more time!
churn and mdl_churn_vs_both_inter are available; dplyr, tidyr and ggplot2 are loaded.
Questo esercizio fa parte del corso
Intermediate Regression in R
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Make a grid of explanatory data
explanatory_data <- ___(
# Set len. relationship to seq from -2 to 4 in steps of 0.1
___,
# Set recency to seq from -1 to 6 in steps of 0.1
___
)
# See the result
explanatory_data