Hi ,

This is the summary of model which i built I am unable to understand how well my model is and would like to know what OOB means and its significance and I would like to know how i can say that my model is good in predicting the outcome

Call:

randomForest(formula = Loan_Status ~ Dependents + ApplicantIncome + CoapplicantIncome + LoanAmount + Credit_History + Property_Area + NC, data = train_data)

Type of random forest: classification

Number of trees: 500

No. of variables tried at each split: 2

```
OOB estimate of error rate: 18.89%
```

Confusion matrix:

N Y class.error

N 93 99 0.51562500

Y 17 405 0.04028436