Initially I built a model for Loan Prediction like below:
Area Under the Curve: 0.8081062
Significant at 0.05% Level: Married, Property_Area and Credit History
So I modified the model by keeping only the significant predictors
Area Under the Curve: 0.7969799
So is it right to say that model1 is better as AUC is comparatively more or Model2 is better as I am predicting with fewer variables which is giving AUC slightly lower than Model1.