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"]

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

作者:

mstz

数据集大小:

36.66 MB