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Credit Default is one of the most discussed and reviewed problems in a financial institution. The ever-changing factors and variables towards the consideration of credit grant remains a challenge to prevent loss caused by non-performing loans. In the light of the machine learning era, one of the methods that can be applied to solve this problem is by using classification models. Ensemble Method is known for improving better model performance. This paper would focus on assessing the performancedoi:10.30534/ijatcse/2020/194942020 fatcat:cwycalg4wjexbot5tw7jvavrei