Loan Prediction - 1
The goal of this model is to predict if a loan will get approved or not.
In this project , we need to predict the target variable Loan_Status which has 2 values Y and N:
Below are the Variable Descriptions :
Loan_ID - Unique Loan ID
Gender - Male/ Female
Married - Applicant married (Y/N)
Dependents - Number of dependents
Education - Applicant Education (Graduate/ Under Graduate)
Self_Employed - Self employed (Y/N)
ApplicantIncome - Applicant income
CoapplicantIncome - Coapplicant income
LoanAmount - Loan amount in thousands
Loan_Amount_Term - Term of loan in months
Credit_History - credit history meets guidelines
Property_Area - Urban/ Semi Urban/ Rural
Loan_Status - Loan approved (Y/N)
- We have replaced the missing values in the data with the Mode of the
columns i.e. The most frequent value in the data.
- Also we have normalized the data so that the different features take
on similar ranges of values so that gradient descents can converge
more quickly.
- We have used the Two class Logistic Regression model and have the below results:
Accuracy - 0.799
Precision - 0.766
Recall - 0.975
