Nbfi

Name: Nbfi
Creator: Helix
Keywords: dataset, discovered, format:csv, hugging face, language:en, license:cc, size_categories:1K<n<10K, task_categories:tabular-classification

Hugging Face

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… See the full description on the dataset page: https://huggingface.co/datasets/mstz/nbfi.

mstz--nbfi.parquet 500 rows mstz/nbfi

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line chart of income over age_in_days average income by accompanied_by top 10 accompanied_by by total income scatter income vs nr_children coloured by accompanied_by

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500 rows · 36 columns · showing first 12

#	income float	owns_a_car boolean	owns_a_bike boolean	has_an_active_loan boolean	owns_a_house boolean	nr_children integer	credit float	loan_annuity float	accompanied_by text	income_type text	education_level float	marital_status text	is_male boolean	type_of_contract text	type_of_housing text	residence_density float	age_in_days integer	consecutive_days_of_employment integer	nr_days_since_last_registration_change integer	nr_days_since_last_document_change integer	has_provided_a_mobile_number boolean	has_provided_a_home_number boolean	was_reachable_at_work boolean	job text	nr_family_members integer	city_rating integer	weekday_of_application integer	hour_of_application float	same_residence_and_home boolean	same_work_and_home boolean	score_1 float	score_2 float	score_3 float	nr_defaults_in_social_circle boolean	inquiries_in_last_year float
1	15750	False	False	False	False	1	1.5e+05	4398	Alone	Service	2	M	False	CL	Family	0.02071	11318	369	5165	2155	True	False	False	Sales	3	2	2	8	True	True	0.435	0.5648	0.6738	True	3
2	27000	True	False	False	True	0	28440	1913	Alone	Service	1	S	False	CL	Family	0.01863	10052	389	7758	2647	True	False	False	Drivers	1	2	4	13	True	True	0.268	0.6841	0.4939	True	6
3	11250	False	True	True	False	0	36000	2066	Alone	Service	1	S	False	CL	Home	0.03133	12969	5840	7066	4321	True	True	True	Core	1	2	3	19	True	True	0.4535	0.2494	0.7557	True	1
4	27000	False	False	True	True	0	7.602e+04	3234	Alone	Service	2	M	False	CL	Home	0.02516	13923	5879	5795	4774	True	False	False	Core	2	2	2	15	True	True	0.3028	0.6499	0.6895	True	2
5	15750	False	False	True	True	3	128835	3780	Alone	Commercial	2	M	False	CL	Home	0.04622	13891	345	7924	5019	True	False	False	Core	5	1	2	14	True	True	0.5503	0.6199	0.8358	True	1
6	27000	True	False	False	True	3	5.337e+04	4003	Alone	Commercial	1	M	False	CL	Home	0.03256	12323	1117	5420	3900	True	False	True	Laborers	5	1	4	10	True	True	0.4772	0.6774	0.5815	True	4
7	9000	False	True	False	False	0	6.649e+04	2401	Alone	Service	1	S	False	CL	Home	0.01056	19983	235	10216	3545	True	False	False	Medicine	1	3	5	12	True	True	0.6471	0.2966	0.2852	True	2
8	11250	False	False	True	False	1	3.015e+04	2395	Alone	Service	1	M	False	CL	Home	0.01003	9614	1364	6385	1078	True	False	False	Laborers	3	2	4	7	True	True	0.1383	0.1756	0.2314	True	3
9	18000	True	False	True	True	1	27000	725	Alone	Service	1	D	False	CL	Home	0.02639	14559	4911	2244	4890	True	True	True	Laborers	2	2	2	11	True	True	0.7419	0.6424	0.3979	True	0
10	18000	True	True	True	True	0	4.815e+04	3351	Alone	Service	1	M	False	CL	Home	0.00702	9114	646	9087	1801	True	True	False	Sales	2	2	6	11	True	True	0.1354	0.4701	0.2366	True	7
11	15750	True	True	False	True	0	5.734e+04	2073	Alone	Service	2	M	False	CL	Home	0.01056	10977	639	5588	3515	True	False	False	Laborers	2	3	0	10	True	True	0.2888	0.272	0.6848	True	3
12	18000	True	True	False	True	0	2.737e+04	3096	Alone	Govt Job	2	M	False	CL	Home	0.01003	8675	1232	126	1365	True	False	True	Core	2	2	4	5	True	True	0.2458	0.295	0.5549	True	2

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Columns

income numeric
owns_a_car bool
owns_a_bike bool
has_an_active_loan bool
owns_a_house bool
nr_children numeric
credit numeric
loan_annuity numeric
accompanied_by categorical
income_type categorical
education_level numeric
marital_status categorical
is_male bool
type_of_contract categorical
type_of_housing categorical
residence_density numeric
age_in_days datetime
consecutive_days_of_employment datetime
nr_days_since_last_registration_change datetime
nr_days_since_last_document_change datetime
has_provided_a_mobile_number bool
has_provided_a_home_number bool
was_reachable_at_work bool
job text
nr_family_members numeric
city_rating numeric
weekday_of_application datetime
hour_of_application numeric
same_residence_and_home bool
same_work_and_home bool
score_1 numeric
score_2 numeric
score_3 numeric
nr_defaults_in_social_circle bool
inquiries_in_last_year datetime
has_defaulted numeric

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