LoreRodriguez/loan-approval-dataset

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
• —LoanAmountTerm
• —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.