Name: Loan Risk Prediction Dataset
Creator: Kaggle
License: https://www.apache.org/licenses/

About this Dataset

Loan Risk Prediction Dataset

About Dataset

Description:

ID: Unique identifier for each loan applicant.

Age: Age of the loan applicant.
Income: Income of the loan applicant.
Home: Home ownership status (Own, Mortgage, Rent).
Emp_Length: Employment length in years.
Intent: Purpose of the loan (e.g., education, home improvement).
Amount: Loan amount applied for.
Rate: Interest rate on the loan.
Status: Loan approval status (Fully Paid, Charged Off, Current).
Percent_Income: Loan amount as a percentage of income.
Default: Whether the applicant has defaulted on a loan previously (Yes, No).
Cred_Length: Length of the applicant's credit history.

The below data set is the subset of an even larger dataset. i splitted it into this small part so it can be easier to use at the main dataset is quite large and is computation intensive and time consuming when building models with it

click here to see the splitting process

Tables

Loan Prediction Mini Dataset

@kaggle.ganjerlawrence_loan_risk_prediction_dataset.loan_prediction_mini_dataset

129.22 kB
8,145 rows
12 columns

CREATE TABLE loan_prediction_mini_dataset (
  "id" BIGINT,
  "age" BIGINT,
  "income" BIGINT,
  "home" VARCHAR,
  "emp_length" DOUBLE,
  "intent" VARCHAR,
  "amount" BIGINT,
  "rate" DOUBLE,
  "status" BIGINT,
  "percent_income" DOUBLE,
  "default" VARCHAR,
  "cred_length" BIGINT
);