german / README.md
mstz's picture
updated to datasets 4.*
b79fadb
---
configs:
- config_name: loan
data_files:
- path: loan/train.csv
split: train
default: true
language: en
license: cc
pretty_name: German
size_categories: 1M<n<10M
tags:
- tabular_classification
- binary_classification
- multiclass_classification
task_categories:
- tabular-classification
---
# German
The [German dataset](https://archive.ics.uci.edu/ml/datasets/Statlog+%28German+Credit+Data%29) from the [UCI ML repository](https://archive.ics.uci.edu/ml/datasets).
Dataset on loan grants to customers.
# Configurations and tasks
| **Configuration** | **Task** | Description |
|-------------------|---------------------------|-----------------------------------------------------------------|
| encoding | | Encoding dictionary showing original values of encoded features.|
| loan | Binary classification | Has the loan request been accepted? |
# Usage
```python
from datasets import load_dataset
dataset = load_dataset("mstz/german", "loan")["train"]
```
# Features
|**Feature** |**Type** |
|------------------------------------|-----------|
|`checking_account_status` | `int8` |
|`account_life_in_months` | `int8` |
|`credit_status` | `int8` |
|`loan_purpose` | `string` |
|`current_credit` | `int32` |
|`current_savings` | `int8` |
|`employed_since` | `int8` |
|`installment_rate_percentage` | `int8` |
|`sex` | `int8` |
|`marital_status` | `string` |
|`guarantors` | `int8` |
|`years_living_in_current_residence` | `int8` |
|`age` | `int8` |
|`installment_plans` | `string` |
|`housing_status` | `int8` |
|`nr_credit_accounts_in_bank` | `int8` |
|`job_status` | `int8` |
|`number_of_people_in_support` | `int8` |
|`has_registered_phone_number` | `int8` |
|`is_foreign` | `int8` |