Example Churn Data
Typical telco churn data 100k
@kaggle.ban7002_example_churn_data
Typical telco churn data 100k
@kaggle.ban7002_example_churn_data
Basic telco churn dataset used to challenge students and academics
Info | Description |
---|---|
file | churn_100k.csv |
n_samples | 101K |
n_features | 28 |
pct_missing | 1% |
numeric_features = ['monthly_minutes', 'customerServiceCalls', 'streaming_minutes', 'TotalBilled', 'PrevBalance', 'latePayments']
categorical_features = ['ip_address_asn', 'phone_area_code', 'customer_reg_date', 'email_domain', 'phoneModel', 'billing_city', 'billing_postal', 'billing_state', 'partner', 'PhoneService', 'MultipleLines', 'streamingPlan', 'mobileHotspot', 'wifiCallingText', 'OnlineBackup', 'device_protection', 'number_phones', 'contract_code', 'currency_code', 'maling_code', 'paperlessBilling', 'paymentMethod']
Train AUC Score : 0.967279
Eval AUC Score : 0.958073
Test AUC Score : 0.946909
Fun and simple dataset to practice with.
CREATE TABLE churn_100k (
"monthly_minutes" DOUBLE,
"customerservicecalls" DOUBLE,
"streaming_minutes" DOUBLE,
"totalbilled" DOUBLE,
"prevbalance" DOUBLE,
"latepayments" DOUBLE,
"ip_address_asn" DOUBLE,
"phone_area_code" DOUBLE,
"customer_reg_date" TIMESTAMP,
"email_domain" VARCHAR,
"phonemodel" VARCHAR,
"billing_city" VARCHAR,
"billing_postal" DOUBLE,
"billing_state" VARCHAR,
"partner" VARCHAR,
"phoneservice" VARCHAR,
"multiplelines" VARCHAR,
"streamingplan" VARCHAR,
"mobilehotspot" VARCHAR,
"wificallingtext" VARCHAR,
"onlinebackup" VARCHAR,
"device_protection" VARCHAR,
"number_phones" DOUBLE,
"contract_code" VARCHAR,
"currency_code" VARCHAR,
"maling_code" VARCHAR,
"paperlessbilling" VARCHAR,
"paymentmethod" VARCHAR,
"event_timestamp" TIMESTAMP,
"customerid" VARCHAR,
"billing_address" VARCHAR,
"gender" VARCHAR,
"networkspeed" VARCHAR,
"senior_citizen" DOUBLE,
"event_label" VARCHAR
);
Anyone who has the link will be able to view this.