Enhancing Accuracy Of Credit Scoring Classification With Imbalance Data Using Synthetic Minority Oversampling Technique-Support Vector Machine (SMOTE-SVM) Model
Credit is one of the business models that provide a significant growth. With the growth of new credit applicants and financial markets, the possibility of credit problem occurrence also become higher. Thus, it becomes important for a financial institution to conduct a preliminary selection to the cr...
Saved in:
Main Author: | Bingamawa, Muhammad Tosan |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2017
|
Subjects: | |
Online Access: | http://eprints.utem.edu.my/id/eprint/20759/1/Enhancing%20Accuracy%20Of%20Credit%20Scoring%20Classification%20With%20Imbalance%20Data%20Using%20Synthetic%20Minority%20Oversampling%20Technique-Support%20Vector%20Machine%20%28SMOTE-SVM%29%20Model%20-%2024%20Pages.pdf http://eprints.utem.edu.my/id/eprint/20759/2/Enhancing%20Accuracy%20Of%20Credit%20Scoring%20Classification%20With%20Imbalance%20Data%20Using%20Synthetic%20Minority%20Oversampling%20Technique-Support%20Vector%20Machine%20%28SMOTE-SVM%29%20Model%20-%20Muhammad%20Tosan%20Bingamawa.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mammogram breast cancer classification using Support Vector Machines (SVM) / Nur Syafiqah Sahrudin
by: Sahrudin, Nur Syafiqah
Published: (2020) -
Molecular database similarity searching using support vector machines (SVM)
by: Mohammadi, Narges
Published: (2009) -
Improved class binarization model with data oversampling in gait recognition
by: Abdul Raziff, Abdul Rafiez
Published: (2019) -
Dengue Outbreak Prediction Using Least Squares Support Vector Machines (LS-SVM)
by: Zuriani, Mustaffa
Published: (2010) -
A comparative analysis on class imbalance techniques in network traffic classification /
by: Rony, Shovon Datta
Published: (2022)