ADABOOST-SVM AND FEATURE SELECTION OF GENETIC ALGORITHM COMBINATION TO ENHANCE INDONESIAN P2P LENDING CREDIT RISK ASSESSMENT
Many Fintech start-ups were established over the past few years in Indonesia. They saw the opportunity that SMEs needed them as platform to provide loans and fundings in order to run their businesses. However, in that sense, many Fintech companies were considered failed to payback its lenders becaus...
Saved in:
Main Author: | Ho, Devon |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/41608 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
IMPLEMENTATION OF K-NEAREST NEIGHBOR ALGORITHM FOR CREDIT SCORING ON PEER-TO-PEER (P2P) LENDING
by: Fikri Hafiya, Muhammad -
Indonesian peer to peer lending (P2P) at entrant's disruptive trajectory
by: CLIFF KOHARDINATA, 049912583 E, et al.
Published: (2020) -
Learning visual saliency by combining feature maps in a nonlinear manner using AdaBoost
by: Zhao, Q., et al.
Published: (2014) -
Training face detector using adaboost algorithm
by: Chiu, Gary Kin Yung.
Published: (2009) -
CREDIT SCORECARD IMPLEMENTATION IN AGRICULTURAL PEER-TO-PEER (P2P) LENDING: A CASE OF PT BERKEMBANG
by: Rizyamesa, Agiananta