A data set from the MLC++ machine learning software for modeling customer churn. There are 19 predictors, mostly numeric: state (categorical), account_length area_code international_plan (yes/no), voice_mail_plan (yes/no), number_vmail_messages total_day_minutes total_day_calls total_day_charge total_eve_minutes total_eve_calls total_eve_charge total_night_minutes total_night_calls total_night_charge total_intl_minutes total_intl_calls total_intl_charge, and number_customer_service_calls.

Source

http://www.sgi.com/tech/mlc/

Value

mlc_churn

a tibble

Details

The outcome is contained in a column called churn (also yes/no). A note in one of the source files states that the data are "artificial based on claims similar to real world".