Dataset: Credit Card Approvals (Clean Data)

About this Dataset

Credit Card Approvals (Clean Data)

This dataset contains a cleaned version of this dataset from UCI machine learning repository on credit card approvals.

Missing values have been filled and feature names and categorical names have been inferred, resulting in more context and it being easier to use.

Your task is to predict which people in the dataset are successful in applying for a credit card.

Tables

Clean Dataset

@kaggle.samuelcortinhas_credit_card_approval_clean_data.clean_dataset

21.34 KB
690 rows
16 columns


CREATE TABLE clean_dataset (
  "gender" BIGINT,
  "age" DOUBLE,
  "debt" DOUBLE,
  "married" BIGINT,
  "bankcustomer" BIGINT,
  "industry" VARCHAR,
  "ethnicity" VARCHAR,
  "yearsemployed" DOUBLE,
  "priordefault" BIGINT,
  "employed" BIGINT,
  "creditscore" BIGINT,
  "driverslicense" BIGINT,
  "citizen" VARCHAR,
  "zipcode" BIGINT,
  "income" BIGINT,
  "approved" BIGINT
);

Crx

@kaggle.samuelcortinhas_credit_card_approval_clean_data.crx

19.65 KB
689 rows
16 columns


CREATE TABLE crx (
  "b" VARCHAR,
  "n_30_83" VARCHAR,
  "n_0" DOUBLE,
  "u" VARCHAR,
  "g" VARCHAR,
  "w" VARCHAR,
  "v" VARCHAR,
  "n_1_25" DOUBLE,
  "t" VARCHAR,
  "t_1" VARCHAR,
  "n_01" BIGINT,
  "f" VARCHAR,
  "g_1" VARCHAR,
  "n_00202" VARCHAR,
  "n_0_1" BIGINT,
  "n" VARCHAR
);