South German Credit Data Classification Using Random Forest Algorithm to Predict Bank Credit Receipts
Normally, most of the bank's wealth is obtained from providing credit loans so that a marketing bank must be able to reduce the risk of non-performing credit loans. The risk of providing loans can be minimized by studying patterns from existing lending data. One technique that can be used to so...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Program Studi Teknik Informatika Universitas Trilogi
2020-12-01
|
| Series: | JISA (Jurnal Informatika dan Sains) |
| Subjects: | |
| Online Access: | https://trilogi.ac.id/journal/ks/index.php/JISA/article/view/837 |