File size: 2,249 Bytes
5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 99029a6 5d54f70 67b21cd 5d54f70 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 |
---
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
splits:
- name: train
num_bytes: 336000
num_examples: 1400
download_size: 0
dataset_size: 336000
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "GermanCredit_train_CDF_lr"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) |