Penerapan Smote Dan Ensemble Learning Untuk Penanganan Data Tidak Seimbang Pa…

ABSTRACT Imbalanced data is one of the problems in classification analysis which can impact the decreasing of the classification performance. The imbalanced data give the bad impact to classification performance, because mostly ignore the minority class. This final project discusses the application of SMOTE and Ensemble Learning (Bagging and Boosting) for handle imbalanced data in classificati…