size_categories:n<1K format:parquet modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: status of existing checking account_0 to less than 200 DM
    dtype: int64
  - name: status of existing checking account_200 DM or more
    dtype: int64
  - name: status of existing checking account_less than 0 DM
    dtype: int64
  - name: status of existing checking account_no checking account
    dtype: int64
  - name: purpose of credit_for business
    dtype: int64
  - name: purpose of credit_for education
    dtype: int64
  - name: purpose of credit_for other reasons
    dtype: int64
  - name: purpose of credit_for repairs
    dtype: int64
  - name: purpose of credit_for retraining
    dtype: int64
  - name: purpose of credit_to buy a new car
    dtype: int64
  - name: purpose of credit_to buy a radio or television
    dtype: int64
  - name: purpose of credit_to buy a used car
    dtype: int64
  - name: purpose of credit_to buy domestic appliances
    dtype: int64
  - name: purpose of credit_to buy furniture or equipment
    dtype: int64
  - name: sex_male
    dtype: int64
  - name: housing_owned
    dtype: int64
  - name: housing_provided for free
    dtype: int64
  - name: housing_rented
    dtype: int64
  - name: job status_manager, self-employed, or highly qualified
    dtype: int64
  - name: job status_skilled worker or official
    dtype: int64
  - name: job status_unemployed or unskilled (non-resident)
    dtype: int64
  - name: job status_unskilled worker (resident)
    dtype: int64
  - name: marital status_divorced / separated
    dtype: int64
  - name: marital status_divorced / separated / married
    dtype: int64
  - name: marital status_married / widowed
    dtype: int64
  - name: marital status_single
    dtype: int64
  - name: duration in months
    dtype: int64
  - name: credit amount
    dtype: int64
  - name: age
    dtype: int64
  - name: credit worthiness
    dtype: int64
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 124000
    num_examples: 500
  download_size: 29294
  dataset_size: 124000
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Dataset Card for "GermanCredit_test_lr_55"

[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)