Corroborate the splits
In the previous exercise, you split the dataset into train_set and test_set. It's important to make sure that the data you are training your model is representative of the test set. So let's make sure both train_set and test_set have the same proportion of active and inactive employees.
Questo esercizio fa parte del corso
HR Analytics: Predicting Employee Churn in R
Istruzioni dell'esercizio
Calculate the proportion of Active and Inactive employees in train_set and test_set.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Calculate turnover proportion in train_set
train_set %>%
___(status) %>%
___(prop = n / sum(n))
# Calculate turnover proportion in test_set
test_set %>%
___(status) %>%
___(prop = n / sum(n))