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---
dataset_info:
features:
- name: b
dtype: string
- name: '30.83'
dtype: string
- name: '0'
dtype: float64
- name: u
dtype: string
- name: g
dtype: string
- name: w
dtype: string
- name: v
dtype: string
- name: '1.25'
dtype: float64
- name: t
dtype: string
- name: t.1
dtype: string
- name: '01'
dtype: int64
- name: f
dtype: string
- name: g.1
dtype: string
- name: '00202'
dtype: string
- name: '0.1'
dtype: int64
- name: +
dtype: string
splits:
- name: train
num_bytes: 69072
num_examples: 689
download_size: 17253
dataset_size: 69072
license: cc
language:
- en
pretty_name: data-credit-card
size_categories:
- n<1K
---
# data-credit-card
## Overview
The data-credit-card dataset is used for credit card applications. It can also be used to explore biases in ML algorithms.
## Dataset Details
The original dataset is the [Credit Approval](https://archive.ics.uci.edu/datasets). This file concerns credit card applications.
All attribute names and values have been changed to meaningless symbols to protect the confidentiality of the data.
- Dataset Name: data-credit-card
- Language: English
- Total Size: 689 demonstrations
## Contents
The dataset consists of a data frame with 16 columns.
- A1: b, a.
- A2: continuous.
- A3: continuous.
- A4: u, y, l, t.
- A5: g, p, gg.
- A6: c, d, cc, i, j, k, m, r, q, w, x, e, aa, ff.
- A7: v, h, bb, j, n, z, dd, ff, o.
- A8: continuous.
- A9: t, f.
- A10: t, f.
- A11: continuous.
- A12: t, f.
- A13: g, p, s.
- A14: continuous.
- A15: continuous.
- A16: + (44,4%) ,- (55,6%) (class attribute)
## How to use
```python
from datasets import load_dataset
dataset = load_dataset("AiresPucrs/data-credit-card", split='train')
```
## License
This dataset is licensed under a [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode) (CC BY 4.0) license. |