I am new to analytics and i have been doing the loan prediction III. I am using the below features and modeled using random forest and SVM. But the score which i am getting is 1.0. So please help me out what and where am i missing?
Gender, Married, Dependents, Education ,Self_Employed ,ApplicantIncome ,CoapplicantIncome ,LoanAmount, Loan_Amount_Term ,Credit_History ,Property_Area, TotalIncome ,EMI ,ratio
random_forest = RandomForestClassifier(n_estimators=100)
y_pred = random_forest.predict(x_test)