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.