Datasets:

LoreRodriguez
/

loan-approval-dataset

Loan_ID stringlengths 8 8	Gender stringclasses 2 values	Married stringclasses 2 values	Dependents stringclasses 4 values	Education stringclasses 2 values	Self_Employed stringclasses 2 values	ApplicantIncome int64 150 81k	CoapplicantIncome float64 0 41.7k	LoanAmount float64 9 700 ⌀	Loan_Amount_Term float64 12 480 ⌀	Credit_History float64 0 1 ⌀	Property_Area stringclasses 3 values	Loan_Status stringclasses 2 values
LP001002	Male	No	0	Graduate	No	5,849	0	null	360	1	Urban	Y
LP001003	Male	Yes	1	Graduate	No	4,583	1,508	128	360	1	Rural	N
LP001005	Male	Yes	0	Graduate	Yes	3,000	0	66	360	1	Urban	Y
LP001006	Male	Yes	0	Not Graduate	No	2,583	2,358	120	360	1	Urban	Y
LP001008	Male	No	0	Graduate	No	6,000	0	141	360	1	Urban	Y
LP001011	Male	Yes	2	Graduate	Yes	5,417	4,196	267	360	1	Urban	Y
LP001013	Male	Yes	0	Not Graduate	No	2,333	1,516	95	360	1	Urban	Y
LP001014	Male	Yes	3+	Graduate	No	3,036	2,504	158	360	0	Semiurban	N
LP001018	Male	Yes	2	Graduate	No	4,006	1,526	168	360	1	Urban	Y
LP001020	Male	Yes	1	Graduate	No	12,841	10,968	349	360	1	Semiurban	N
LP001024	Male	Yes	2	Graduate	No	3,200	700	70	360	1	Urban	Y
LP001027	Male	Yes	2	Graduate	null	2,500	1,840	109	360	1	Urban	Y
LP001028	Male	Yes	2	Graduate	No	3,073	8,106	200	360	1	Urban	Y
LP001029	Male	No	0	Graduate	No	1,853	2,840	114	360	1	Rural	N
LP001030	Male	Yes	2	Graduate	No	1,299	1,086	17	120	1	Urban	Y
LP001032	Male	No	0	Graduate	No	4,950	0	125	360	1	Urban	Y
LP001034	Male	No	1	Not Graduate	No	3,596	0	100	240	null	Urban	Y
LP001036	Female	No	0	Graduate	No	3,510	0	76	360	0	Urban	N
LP001038	Male	Yes	0	Not Graduate	No	4,887	0	133	360	1	Rural	N
LP001041	Male	Yes	0	Graduate	null	2,600	3,500	115	null	1	Urban	Y
LP001043	Male	Yes	0	Not Graduate	No	7,660	0	104	360	0	Urban	N
LP001046	Male	Yes	1	Graduate	No	5,955	5,625	315	360	1	Urban	Y
LP001047	Male	Yes	0	Not Graduate	No	2,600	1,911	116	360	0	Semiurban	N
LP001050	null	Yes	2	Not Graduate	No	3,365	1,917	112	360	0	Rural	N
LP001052	Male	Yes	1	Graduate	null	3,717	2,925	151	360	null	Semiurban	N
LP001066	Male	Yes	0	Graduate	Yes	9,560	0	191	360	1	Semiurban	Y
LP001068	Male	Yes	0	Graduate	No	2,799	2,253	122	360	1	Semiurban	Y
LP001073	Male	Yes	2	Not Graduate	No	4,226	1,040	110	360	1	Urban	Y
LP001086	Male	No	0	Not Graduate	No	1,442	0	35	360	1	Urban	N
LP001087	Female	No	2	Graduate	null	3,750	2,083	120	360	1	Semiurban	Y
LP001091	Male	Yes	1	Graduate	null	4,166	3,369	201	360	null	Urban	N
LP001095	Male	No	0	Graduate	No	3,167	0	74	360	1	Urban	N
LP001097	Male	No	1	Graduate	Yes	4,692	0	106	360	1	Rural	N
LP001098	Male	Yes	0	Graduate	No	3,500	1,667	114	360	1	Semiurban	Y
LP001100	Male	No	3+	Graduate	No	12,500	3,000	320	360	1	Rural	N
LP001106	Male	Yes	0	Graduate	No	2,275	2,067	null	360	1	Urban	Y
LP001109	Male	Yes	0	Graduate	No	1,828	1,330	100	null	0	Urban	N
LP001112	Female	Yes	0	Graduate	No	3,667	1,459	144	360	1	Semiurban	Y
LP001114	Male	No	0	Graduate	No	4,166	7,210	184	360	1	Urban	Y
LP001116	Male	No	0	Not Graduate	No	3,748	1,668	110	360	1	Semiurban	Y
LP001119	Male	No	0	Graduate	No	3,600	0	80	360	1	Urban	N
LP001120	Male	No	0	Graduate	No	1,800	1,213	47	360	1	Urban	Y
LP001123	Male	Yes	0	Graduate	No	2,400	0	75	360	null	Urban	Y
LP001131	Male	Yes	0	Graduate	No	3,941	2,336	134	360	1	Semiurban	Y
LP001136	Male	Yes	0	Not Graduate	Yes	4,695	0	96	null	1	Urban	Y
LP001137	Female	No	0	Graduate	No	3,410	0	88	null	1	Urban	Y
LP001138	Male	Yes	1	Graduate	No	5,649	0	44	360	1	Urban	Y
LP001144	Male	Yes	0	Graduate	No	5,821	0	144	360	1	Urban	Y
LP001146	Female	Yes	0	Graduate	No	2,645	3,440	120	360	0	Urban	N
LP001151	Female	No	0	Graduate	No	4,000	2,275	144	360	1	Semiurban	Y
LP001155	Female	Yes	0	Not Graduate	No	1,928	1,644	100	360	1	Semiurban	Y
LP001157	Female	No	0	Graduate	No	3,086	0	120	360	1	Semiurban	Y
LP001164	Female	No	0	Graduate	No	4,230	0	112	360	1	Semiurban	N
LP001179	Male	Yes	2	Graduate	No	4,616	0	134	360	1	Urban	N
LP001186	Female	Yes	1	Graduate	Yes	11,500	0	286	360	0	Urban	N
LP001194	Male	Yes	2	Graduate	No	2,708	1,167	97	360	1	Semiurban	Y
LP001195	Male	Yes	0	Graduate	No	2,132	1,591	96	360	1	Semiurban	Y
LP001197	Male	Yes	0	Graduate	No	3,366	2,200	135	360	1	Rural	N
LP001198	Male	Yes	1	Graduate	No	8,080	2,250	180	360	1	Urban	Y
LP001199	Male	Yes	2	Not Graduate	No	3,357	2,859	144	360	1	Urban	Y
LP001205	Male	Yes	0	Graduate	No	2,500	3,796	120	360	1	Urban	Y
LP001206	Male	Yes	3+	Graduate	No	3,029	0	99	360	1	Urban	Y
LP001207	Male	Yes	0	Not Graduate	Yes	2,609	3,449	165	180	0	Rural	N
LP001213	Male	Yes	1	Graduate	No	4,945	0	null	360	0	Rural	N
LP001222	Female	No	0	Graduate	No	4,166	0	116	360	0	Semiurban	N
LP001225	Male	Yes	0	Graduate	No	5,726	4,595	258	360	1	Semiurban	N
LP001228	Male	No	0	Not Graduate	No	3,200	2,254	126	180	0	Urban	N
LP001233	Male	Yes	1	Graduate	No	10,750	0	312	360	1	Urban	Y
LP001238	Male	Yes	3+	Not Graduate	Yes	7,100	0	125	60	1	Urban	Y
LP001241	Female	No	0	Graduate	No	4,300	0	136	360	0	Semiurban	N
LP001243	Male	Yes	0	Graduate	No	3,208	3,066	172	360	1	Urban	Y
LP001245	Male	Yes	2	Not Graduate	Yes	1,875	1,875	97	360	1	Semiurban	Y
LP001248	Male	No	0	Graduate	No	3,500	0	81	300	1	Semiurban	Y
LP001250	Male	Yes	3+	Not Graduate	No	4,755	0	95	null	0	Semiurban	N
LP001253	Male	Yes	3+	Graduate	Yes	5,266	1,774	187	360	1	Semiurban	Y
LP001255	Male	No	0	Graduate	No	3,750	0	113	480	1	Urban	N
LP001256	Male	No	0	Graduate	No	3,750	4,750	176	360	1	Urban	N
LP001259	Male	Yes	1	Graduate	Yes	1,000	3,022	110	360	1	Urban	N
LP001263	Male	Yes	3+	Graduate	No	3,167	4,000	180	300	0	Semiurban	N
LP001264	Male	Yes	3+	Not Graduate	Yes	3,333	2,166	130	360	null	Semiurban	Y
LP001265	Female	No	0	Graduate	No	3,846	0	111	360	1	Semiurban	Y
LP001266	Male	Yes	1	Graduate	Yes	2,395	0	null	360	1	Semiurban	Y
LP001267	Female	Yes	2	Graduate	No	1,378	1,881	167	360	1	Urban	N
LP001273	Male	Yes	0	Graduate	No	6,000	2,250	265	360	null	Semiurban	N
LP001275	Male	Yes	1	Graduate	No	3,988	0	50	240	1	Urban	Y
LP001279	Male	No	0	Graduate	No	2,366	2,531	136	360	1	Semiurban	Y
LP001280	Male	Yes	2	Not Graduate	No	3,333	2,000	99	360	null	Semiurban	Y
LP001282	Male	Yes	0	Graduate	No	2,500	2,118	104	360	1	Semiurban	Y
LP001289	Male	No	0	Graduate	No	8,566	0	210	360	1	Urban	Y
LP001310	Male	Yes	0	Graduate	No	5,695	4,167	175	360	1	Semiurban	Y
LP001316	Male	Yes	0	Graduate	No	2,958	2,900	131	360	1	Semiurban	Y
LP001318	Male	Yes	2	Graduate	No	6,250	5,654	188	180	1	Semiurban	Y
LP001319	Male	Yes	2	Not Graduate	No	3,273	1,820	81	360	1	Urban	Y
LP001322	Male	No	0	Graduate	No	4,133	0	122	360	1	Semiurban	Y
LP001325	Male	No	0	Not Graduate	No	3,620	0	25	120	1	Semiurban	Y
LP001326	Male	No	0	Graduate	null	6,782	0	null	360	null	Urban	N
LP001327	Female	Yes	0	Graduate	No	2,484	2,302	137	360	1	Semiurban	Y
LP001333	Male	Yes	0	Graduate	No	1,977	997	50	360	1	Semiurban	Y
LP001334	Male	Yes	0	Not Graduate	No	4,188	0	115	180	1	Semiurban	Y
LP001343	Male	Yes	0	Graduate	No	1,759	3,541	131	360	1	Semiurban	Y

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Loan Approval Dataset

Dataset for experimenting with binary classification models for loan approval prediction.

Dataset structure

The dataset contains two splits:

train: 614 records
test: 367 records

The training dataset contains the target variable:

Loan_Status

where:

Y = Loan approved
N = Loan rejected

Features

Loan_ID
Gender
Married
Dependents
Education
Self_Employed
ApplicantIncome
CoapplicantIncome
LoanAmount
Loan_Amount_Term
Credit_History
Property_Area
Loan_Status

Loan_Status is only available in the training split.

Intended use

This dataset can be used for educational experiments involving:

binary classification
data preprocessing
missing-value handling
feature engineering
model comparison

Dataset Source

The original dataset was obtained from Kaggle:

Loan Prediction Problem Dataset
Author: altruistdelhite04

Source: https://www.kaggle.com/datasets/altruistdelhite04/loan-prediction-problem-dataset/data

The dataset is used here for educational and machine learning experimentation purposes.
The original data files have been organized into train and test splits for easier use with the Hugging Face datasets library.

Please refer to the original Kaggle dataset page for licensing, attribution requirements, and additional dataset information.

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