Datasets:

mstz
/

german

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 from the UCI ML repository. 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

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`