Dataset: Loan Prediction Classification Dataset

About this Dataset

Loan Prediction Classification Dataset

The dataset contains information about loan applicants and whether their loans were approved. Here's a description of each variable:

Loan_ID: Unique identifier for each loan application.

Gender: Gender of the applicant (Male, Female).

Married: Marital status of the applicant (Yes, No).

Dependents: Number of dependents the applicant has.

Education: Education level of the applicant (Graduate, Under Graduate).

Self_Employed: Whether the applicant is self-employed or not (Yes, No).

ApplicantIncome: Income of the applicant.

CoapplicantIncome: Income of the co-applicant.

LoanAmount: Loan amount applied for (in thousands).

Loan_Amount_Term: Term of the loan in months.

Credit_History: Whether the applicant's credit history meets guidelines (1 = Yes, 0 = No).

Property_Area: Area where the applicant's property is located (Urban, Semi Urban, Rural).

Loan_Status: Whether the loan was approved or not (Y = Yes, N = No).

Tables

Output

@kaggle.jsonali2003_loan_prediction_classification_dataset.output

4.19 KB
367 rows
2 columns


CREATE TABLE output (
  "loan_id" VARCHAR,
  "loan_status" BIGINT
);

Test

@kaggle.jsonali2003_loan_prediction_classification_dataset.test

15.21 KB
367 rows
12 columns


CREATE TABLE test (
  "loan_id" VARCHAR,
  "gender" VARCHAR,
  "married" VARCHAR,
  "dependents" VARCHAR,
  "education" VARCHAR,
  "self_employed" VARCHAR,
  "applicantincome" BIGINT,
  "coapplicantincome" BIGINT,
  "loanamount" DOUBLE,
  "loan_amount_term" DOUBLE,
  "credit_history" DOUBLE,
  "property_area" VARCHAR
);

Train

@kaggle.jsonali2003_loan_prediction_classification_dataset.train

20.17 KB
614 rows
13 columns


CREATE TABLE train (
  "loan_id" VARCHAR,
  "gender" VARCHAR,
  "married" VARCHAR,
  "dependents" VARCHAR,
  "education" VARCHAR,
  "self_employed" VARCHAR,
  "applicantincome" BIGINT,
  "coapplicantincome" DOUBLE,
  "loanamount" DOUBLE,
  "loan_amount_term" DOUBLE,
  "credit_history" DOUBLE,
  "property_area" VARCHAR,
  "loan_status" VARCHAR
);