metadata
dataset_info:
features:
- name: duration in months
dtype: int64
- name: credit amount
dtype: int64
- name: age
dtype: int64
- name: status of existing checking account_0 to less than 200 DM
dtype: float64
- name: status of existing checking account_200 DM or more
dtype: float64
- name: status of existing checking account_less than 0 DM
dtype: float64
- name: status of existing checking account_no checking account
dtype: float64
- name: purpose of credit_for business
dtype: float64
- name: purpose of credit_for education
dtype: float64
- name: purpose of credit_for other reasons
dtype: float64
- name: purpose of credit_for repairs
dtype: float64
- name: purpose of credit_for retraining
dtype: float64
- name: purpose of credit_to buy a new car
dtype: float64
- name: purpose of credit_to buy a radio or television
dtype: float64
- name: purpose of credit_to buy a used car
dtype: float64
- name: purpose of credit_to buy domestic appliances
dtype: float64
- name: purpose of credit_to buy furniture or equipment
dtype: float64
- name: sex_male
dtype: float64
- name: housing_owned
dtype: float64
- name: housing_provided for free
dtype: float64
- name: housing_rented
dtype: float64
- name: job status_manager, self-employed, or highly qualified
dtype: float64
- name: job status_skilled worker or official
dtype: float64
- name: job status_unemployed or unskilled (non-resident)
dtype: float64
- name: job status_unskilled worker (resident)
dtype: float64
- name: marital status_divorced / separated
dtype: float64
- name: marital status_divorced / separated / married
dtype: float64
- name: marital status_married / widowed
dtype: float64
- name: marital status_single
dtype: float64
- name: label
dtype: int64
splits:
- name: train
num_bytes: 336000
num_examples: 1400
download_size: 43612
dataset_size: 336000
configs:
- config_name: default
data_files:
- split: train
path: data/train-*