---
dataset_info:
  features:
  - name: ID
    dtype: int64
  - name: AGE
    dtype: int64
  - name: INCOME
    dtype: int64
  - name: GENDER
    dtype: string
  - name: MARITAL
    dtype: string
  - name: NUMKIDS
    dtype: int64
  - name: NUMCARDS
    dtype: int64
  - name: HOWPAID
    dtype: string
  - name: MORTGAGE
    dtype: string
  - name: STORECAR
    dtype: int64
  - name: LOANS
    dtype: int64
  - name: RISK
    dtype: string
  splits:
  - name: train
    num_bytes: 255320
    num_examples: 2455
  download_size: 45820
  dataset_size: 255320
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Dataset Card for CreditCardRisk Dataset

## Dataset Summary
The CreditCardRisk Dataset is an English Language dataset containing 2455 entries of customer information and the associated credit card risk



## Dataset Structure

### Data Instances
For each instance, there is an integer for the ID , an integer for the age, an integer for the income, a string for the gender with 2 possible values m for male and f for female, a string for the marital status with 3 possible values: married, single, divsepwid (represents divorced, separated, widow), an integer for the numkids, an integer for the numcards, a string for the howpaid with 2 possible values, weekly or monthly, a string for the mortgage with 2 possible values y (yes) or n (no), an integer for the storecar, an integer for the loans, and a string for the risk with 3 possible values, bad profit, bad loss, or good risk.

{'ID': '100,756',
 'AGE': '44',
 'INCOME': '59,944',
 'GENDER': 'm',
 'MARITAL': 'married',
 'NUMKIDS': '1',
 'NUMCARDS': '2',
 'HOWPAID': 'monthly',
 'MORTGAGE': 'y',
 'STORECAR': '2',
 'LOANS': '0',
 'RISK': 'good risk',
 }

### Data Fields
- **ID:** an integer with a unique ID for each customer
- **AGE:** an integer stating the age of the customer
- **INCOME:** an integer stating the income of the customer in USD
- **GENDER:** a string stating the gender of the customer with 2 possible values, either m (male) or f (female)
- **MARITAL:** a string stating the marital status of the customer 3 possible values, either married, single, or divsepwid
- **NUMKIDS:** an integer stating the number of children each customer has
- **NUMCARDS:** an integer stating the number of cards each customer has
- **HOWPAID:** a string stating the frequency of payment received by each customer with 2 possible values, monthly or weekly
- **MORTGAGE:** a string stating whether a customer has mortgage with 2 possible values, y or no
- **STORECAR:** an integer stating the number of store credit cards each customer has
- **LOANS:** an integer stating the number of outstanding loans each customer has 
- **RISK:** a string stating the credit card risk per customer with 3 possible values, bad loss, bad profit or good risk


### Dataset Sources
IBM Academic Initiative Program

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## Uses

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### Direct Use

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### Out-of-Scope Use

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## Dataset Structure

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## Dataset Creation

### Curation Rationale

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### Source Data

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#### Data Collection and Processing

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#### Who are the source data producers?

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### Annotations [optional]

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#### Annotation process

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#### Who are the annotators?

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#### Personal and Sensitive Information

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## Bias, Risks, and Limitations

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### Recommendations

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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

## Citation [optional]

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**BibTeX:**

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## Glossary [optional]

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## Dataset Card Authors [optional]

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## Dataset Card Contact

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