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Loan Default Prediction

Dataset highlights
10,000 records
22 variables
Realistic income, credit score, debt and loan relationships
Multiple employment and education categories
Different loan purposes
Calculated Debt-to-Income Ratio and Monthly EMI
Previous defaults and late-payment patterns
Collateral values related to loan purpose
Default_Flag designed as the prediction target
Suitable for Logistic Regression, Decision Tree, Random Forest, XGBoost, Classification, Feature Importance and EDA
📈 Finance Credit Risk & Lending Analytics 📦 10,000 rows × 22 cols 💾 1.2 MB ⬇ 0 downloads

Preview

Loan_IDCustomer_IDAgeGenderMarital_StatusEmployment_TypeAnnual_IncomeEducation_LevelCredit_ScoreExisting_LoansTotal_DebtDebt_to_Income_RatioLoan_AmountLoan_Term_MonthsInterest_RateMonthly_EMIPrevious_DefaultsCredit_History_YearsLate_PaymentsLoan_PurposeCollateral_ValueDefault_Flag
LN1000001C00515439MaleDivorcedContract503173Master70501112300.38582269609.761738.270231Vehicle484220
LN1000002C00734544FemaleSingleSalaried469112High School75501813690.665130542367.724073.870211Home Improvement534590
LN1000003C00176848MaleMarriedSelf-Employed534013Bachelor71621588900.535126563609.352648.790241Home Improvement846950
LN1000004C00626146FemaleMarriedSalaried500486Bachelor7760972140.649227370607.334537.680250Home Improvement1521670
LN1000005C00334236OtherMarriedSelf-Employed859282Master73713274101.148658828366.520192.420120Home Purchase8329050
LN1000006C00564040FemaleMarriedSalaried831918Master71924392330.741177596607.423551.910140Vehicle1402060
LN1000007C00231648MaleDivorcedSelf-Employed439771Diploma81722009730.67595871606.851891.580301Personal79930
LN1000008C00431633MaleSingleSalaried324008Bachelor74601086030.5687543412010.591021.670101Personal112790

Showing first 8 rows of 10,000.

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