STUDY OF CREDIT RISK ASSESSMENT PERFORMANCE IMPROVEMENT THROUGH XGBOOST ALGORITHM
A good credit risk assessment can maximize the economic benefits derived from credit. The challenge of credit scoring, especially in Indonesia, is to help reduce non-performing loans (NPL). For this reason, a credit scoring algorithm is needed that is able to help identify potential borrowers wit...
Saved in:
Main Author: | Adiputra, Sutawijaya |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/56987 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
DESIGN OF CLASSIFICATION MODEL FOR COVID-19 DETECTION THROUGH RECORDING OF COUGH USING XGBOOST CLASSIFIER ALGORITHM
by: Elida Irawati, Mesayu -
CLASSIFICATION OF PARTIAL SHADING FAILURES IN PV SYSTEMS WITH DISTANCE VARIATIONS USING XGBOOST ALGORITHM
by: Ayu Wijayanti, Dyah -
XGBoost improves classification of MGMT promoter methylation status in IDH1 wildtype glioblastoma
by: Le, Nguyen Quoc Khanh, et al.
Published: (2021) -
Improving Credit Risk Control through reforming Business Customer Assessment methodology – the case of VRB’s Hanoi office
by: Le, Hong Quan
Published: (2017) -
FAILURE DETECTION OF PLTS SYSTEM IN OPERATION MODE AND PERFORMANCE DEGRADATION USING XGBOOST METHOD
by: Fuad Hassan Siregar, Muhammad