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Thunyamai Junsawang. Loss estimation for voluntary motor claims based on decision tree model. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Loss estimation for voluntary motor claims based on decision tree model
Name: Parinya Sa Ngiamsunthorn
Organization :
King Mongkut's University of Technology Thonburi. Faculty of Science
Email :
parinya.san@kmutt.ac.th
Name: Boobphachard Chansawang
Organization :
King Mongkut's University of Technology Thonburi. Faculty of Science
Name: Saowaluk Khantalee
Organization :
King Mongkut's University of Technology Thonburi. Faculty of Science
Name: Thunyamai Junsawang
Organization :
King Mongkut's University of Technology Thonburi. Faculty of Science
keyword:
Loss estimation
ThaSH:
Decision support systems
ThaSH:
Decision trees
ThaSH:
Indemnity
ThaSH:
Insurance claims
ThaSH:
Models and modelmaking
Abstract:
The objective of this research is to develop a model to predict own damage loss for voluntary motor claims.
The dataset used in this research was collected from an insurance company for five years during 2014-2018. The
decision tree based on the Chi-square Automatic Interaction Detector algorithm (CHAID) is selected to develop the loss
estimation model. From the decision tree model, the data is classified into 43 groups. It is found that factors affecting the
model are car brand, sum insured, responsibility, claim service type, number of third-party cars, cause of loss, extra
services, and region. In addition, the loss estimated from the decision tree model for the test data set yields a percentage
error of 4.01 percent compared to the actual loss for the claim data in 2019. Therefore, the decision tree model is feasible to
predict loss of voluntary motor claims.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2025-09-15
Issued:
2025-09-15
บทความ/Article
application/pdf
BibliograpyCitation :
In King Mongkut's University of Technology North Bangkok Faculty of Applied Science, Thai Statistical Association (TSA) and Statistics Cooperative Research Network (Statistics CRN). The Proceeding of International Conference on Applied Statistics (ICAS 2022) (pp.91-94). Bangkok : King Mongkut's University of Technology North Bangkok
eng
©copyrights King Mongkut's University of Technology North Bangkok
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0.048865 วินาที
Parinya Sa Ngiamsunthorn
| Title | Contributor | Type |
|---|---|---|
| Loss estimation for voluntary motor claims based on decision tree model
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Parinya Sa Ngiamsunthorn;Boobphachard Chansawang;Saowaluk Khantalee;Thunyamai Junsawang | บทความ/Article |
Boobphachard Chansawang
| Title | Contributor | Type |
|---|---|---|
| Loss estimation for voluntary motor claims based on decision tree model
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Parinya Sa Ngiamsunthorn;Boobphachard Chansawang;Saowaluk Khantalee;Thunyamai Junsawang | บทความ/Article |
Saowaluk Khantalee
| Title | Contributor | Type |
|---|---|---|
| Loss estimation for voluntary motor claims based on decision tree model
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Parinya Sa Ngiamsunthorn;Boobphachard Chansawang;Saowaluk Khantalee;Thunyamai Junsawang | บทความ/Article |
Thunyamai Junsawang
| Title | Contributor | Type |
|---|---|---|
| Loss estimation for voluntary motor claims based on decision tree model
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Parinya Sa Ngiamsunthorn;Boobphachard Chansawang;Saowaluk Khantalee;Thunyamai Junsawang | บทความ/Article |