metadata

language:
  - en
tags:
  - nbfi
  - tabular_classification
  - binary_classification
pretty_name: NBFI
size_categories:
  - 1K<n<10K
task_categories:
  - tabular-classification
configs:
  - default
license: cc

NBFI

The NBFI dataset from the Kaggle. Client default prediction.

Configuration	Task	Description
default	Binary classification	Has the client defaulted?

Usage

from datasets import load_dataset

dataset = load_dataset("mstz/nbfi")["train"]

Features

Feature	Type
`income`	`float32`
`owns_a_car`	`bool`
`owns_a_bike`	`bool`
`has_an_active_loan`	`bool`
`owns_a_house`	`bool`
`nr_children`	`int8`
`credit`	`float32`
`loan_annuity`	`float32`
`accompanied_by`	`string`
`income_type`	`string`
`education_level`	`float32`
`marital_status`	`float32`
`is_male`	`bool`
`type_of_contract`	`string`
`type_of_housing`	`string`
`residence_density`	`float32`
`age_in_days`	`int32`
`consecutive_days_of_employment`	`int16`
`nr_days_since_last_registration_change`	`int32`
`nr_days_since_last_document_change`	`int32`
`owned_a_house_for_nr_days`	`int32`
`has_provided_a_mobile_number`	`bool`
`has_provided_a_home_number`	`bool`
`was_reachable_at_work`	`bool`
`job`	`string`
`nr_family_members`	`int8`
`city_rating`	`int8`
`weekday_of_application`	`int8`
`hour_of_application`	`float32`
`same_residence_and_home`	`bool`
`same_work_and_home`	`bool`
`score_1`	`float32`
`score_2`	`float32`
`score_3`	`float32`
`nr_defaults_in_social_circle`	`int8`
`inquiries_in_last_year`	`float32`