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Journal : Jurnal ULTIMATICS

Enhancing Decision Tree Performance in Credit Risk Classification and Prediction Raymond Sunardi Oetama
Ultimatics : Jurnal Teknik Informatika Vol 7 No 1 (2015): Ultimatics: Jurnal Ilmu Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.735 KB) | DOI: 10.31937/ti.v7i1.349

Abstract

This study is focused on enhancing Decision Tree on its capabilities in classification as well as prediction. The capability of decision tree algorithm in classification outperforms its capability in prediction. The classification quality will be enhanced when it works with resampling techniques such as Adaboost.