Baselight

Bank Churn Dataset

Deciphering Customer Loyalty: Analyzing Bank Churn through Binary Classification

@kaggle.harshitstark_dataset

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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
  • 1.71 MB
  • 110023 rows
  • 2 columns
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CREATE TABLE bank_churn_output_submission (
  "id" BIGINT,
  "exited" DOUBLE
);

Sample Submission

@kaggle.harshitstark_dataset.sample_submission
  • 660.71 KB
  • 110023 rows
  • 2 columns
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CREATE TABLE sample_submission (
  "id" BIGINT,
  "exited" DOUBLE
);

Test

@kaggle.harshitstark_dataset.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.harshitstark_dataset.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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