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数据集:
mstz/nbfi
中文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 |