credit: Credit Scoring Dataset
In e2tree: Explainable Ensemble Trees

credit

R Documentation

Credit Scoring Dataset

Description

A dataset containing socio-economic and banking information for 468 bank clients, used to assess creditworthiness. All variables are categorical.

Usage

credit

Format

A data frame with 468 rows and 12 columns:

Type_of_client: Credit evaluation outcome: "Creditworthy" or "Non-Creditworthy".
Client_Age: Age class of the client (e.g., "less than 23 years", "from 23 to 35 years", "from 35 to 50 years", "over 50 years").
Family_Situation: Marital/family status of the client (e.g., "single", "married", "divorced").
Account_Tenure: Length of the client's relationship with the bank (e.g., "1 year or less", "from 2 to 5 years", "plus 12 years").
Salary_Credited_to_Bank_Account: Whether the client's salary is credited to the bank account (e.g., "domicile salary", "no domicile salary").
Ammount_of_Savings: Client's level of savings (e.g., "no savings", "less than 5 thousand", "from 5 to 30 thousand", "more than 30 thousand").
Customer_Occupation: Employment category of the client (e.g., "employee", "self-employed", "retired").
Average_Account_Balance: Average balance held in the account (e.g., "from 2 to 5 thousand", "more than 5 thousand").
Average_Account_Turnover: Average monthly turnover on the account (e.g., "Less than 10 thousand", "from 10 to 50 thousand", "more than 50 thousand").
Credit_Card_Transaction_Count_Monthly: Number of credit card transactions per month (e.g., "less than 40", "from 40 to 100", "more than 100").
Authorized_Overdraft_Limit: Whether the client has an authorized overdraft facility ("Authorised" or "forbidden").
Authorized_to_Issue_Bank_Checks: Whether the client is authorized to issue bank checks ("Authorised" or "forbidden").