Bank Churn Prediction
The dataset includes label-encoded surnames and features derived from them using
@kaggle.willianoliveiragibin_bank_churn_prediction
Table List
- 1 table(6.59 MB)
Friance New
@kaggle.willianoliveiragibin_bank_churn_prediction.friance_new
- 6.59 MB
- 175028 rows
- 25 columns
CREATE TABLE friance_new (
"surname" BIGINT,
"creditscore" DOUBLE,
"age" DOUBLE,
"tenure" DOUBLE,
"balance" DOUBLE,
"numofproducts" DOUBLE,
"hascrcard" BIGINT,
"isactivemember" BIGINT,
"estimatedsalary" VARCHAR,
"exited" BIGINT,
"surname_tfidf_0" VARCHAR,
"surname_tfidf_1" VARCHAR,
"surname_tfidf_2" VARCHAR,
"surname_tfidf_3" VARCHAR,
"surname_tfidf_4" VARCHAR,
"france" BIGINT,
"germany" BIGINT,
"spain" BIGINT,
"female" BIGINT,
"male" BIGINT,
"mem_no_products" DOUBLE,
"cred_bal_sal" VARCHAR,
"bal_sal" VARCHAR,
"tenure_age" VARCHAR,
"age_tenure_product" DOUBLE
);