Name: Bank Churn Dataset
Creator: Kaggle
License: https://opensource.org/licenses/MIT

About this Dataset

Bank Churn Dataset

Unravel the dynamics of customer retention in the financial landscape with this comprehensive "Bank Churn Dataset." Engage in insightful binary classification analysis to predict customer churn, offering a valuable resource for understanding and addressing challenges related to customer loyalty in the banking sector. Explore the intricacies of this dataset to enhance your predictive modeling skills and contribute to the advancements in customer relationship management.

Tables

Bank Churn Output Submission

@kaggle.harshitstark_dataset.bank_churn_output_submission

1.79 MB
110,023 rows
2 columns

CREATE TABLE bank_churn_output_submission (
  "id" BIGINT,
  "exited" DOUBLE
);

Sample Submission

@kaggle.harshitstark_dataset.sample_submission

676.57 kB
110,023 rows
2 columns

CREATE TABLE sample_submission (
  "id" BIGINT,
  "exited" DOUBLE
);

Test

@kaggle.harshitstark_dataset.test

2.3 MB
110,023 rows
13 columns

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.harshitstark_dataset.train

3.3 MB
165,034 rows
14 columns

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
);