Baselight

Bank Churn Dataset

Bank Customer Churn Dataset

@kaggle.rangalamahesh_bank_churn

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About this Dataset

Bank Churn Dataset

About Dataset
This dataset is for ABC Multistate bank with following columns:

  1. customer_id, unused variable.
  2. credit_score, used as input.
  3. country, used as input.
  4. gender, used as input.
  5. age, used as input.
  6. tenure, used as input.
  7. balance, used as input.
  8. products_number, used as input.
  9. credit_card, used as input.
  10. active_member, used as input.
  11. estimated_salary, used as input.
  12. churn, used as the target. 1 if the client has left the bank during some period or 0 if he/she has not.
    Aim is to Predict the Customer Churn for ABC Bank.

Tables

Test

@kaggle.rangalamahesh_bank_churn.test
  • 2.2 MB
  • 110023 rows
  • 13 columns
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CREATE TABLE test (
  "id" BIGINT,
  "customerid" BIGINT,
  "surname" VARCHAR,
  "creditscore" BIGINT,
  "geography" VARCHAR,
  "gender" VARCHAR,
  "age" DOUBLE,
  "tenure" BIGINT,
  "balance" DOUBLE,
  "numofproducts" BIGINT,
  "hascrcard" DOUBLE,
  "isactivemember" DOUBLE,
  "estimatedsalary" DOUBLE
);

Train

@kaggle.rangalamahesh_bank_churn.train
  • 3.15 MB
  • 165034 rows
  • 14 columns
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CREATE TABLE train (
  "id" BIGINT,
  "customerid" BIGINT,
  "surname" VARCHAR,
  "creditscore" BIGINT,
  "geography" VARCHAR,
  "gender" VARCHAR,
  "age" DOUBLE,
  "tenure" BIGINT,
  "balance" DOUBLE,
  "numofproducts" BIGINT,
  "hascrcard" DOUBLE,
  "isactivemember" DOUBLE,
  "estimatedsalary" DOUBLE,
  "exited" BIGINT
);

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