# Customer Churn Prediction 2020 — Data
来源：https://www.kaggle.com/competitions/customer-churn-prediction-2020/data
本地 Meta Kaggle 快照；不是本次实时页面。
# Dataset Description
File descriptions
- train.csv - the training set.
Contains 4250 lines with 20 columns. 3652 samples (85.93%) belong to class churn=no and 598 samples (14.07%) belong to class churn=yes
- test.csv - the test set.
Contains 750 lines with 20 columns: the index of each sample and the 19 features (missing the target variable "churn").
- sampleSubmission.csv - a sample submission file in the correct format
Data fields
- state, string. 2-letter code of the US state of customer residence
- account_length, numerical. Number of months the customer has been with the current telco provider
- area_code, string="area_code_AAA" where AAA = 3 digit area code.
- international_plan, (yes/no). The customer has international plan.
- voice_mail_plan, (yes/no). The customer has voice mail plan.
- number_vmail_messages, numerical. Number of voice-mail messages.
- total_day_minutes, numerical. Total minutes of day calls.
- total_day_calls, numerical. Total number of day calls.
- total_day_charge, numerical. Total charge of day calls.
- total_eve_minutes, numerical. Total minutes of evening calls.
- total_eve_calls, numerical. Total number of evening calls.
- total_eve_charge, numerical. Total charge of evening calls.
- total_night_minutes, numerical. Total minutes of night calls.
- total_night_calls, numerical. Total number of night calls.
- total_night_charge, numerical. Total charge of night calls.
- total_intl_minutes, numerical. Total minutes of international calls.
- total_intl_calls, numerical. Total number of international calls.
- total_intl_charge, numerical. Total charge of international calls
- number_customer_service_calls, numerical. Number of calls to customer service
- churn, (yes/no). Customer churn - target variable.