BibTeX
CSL-JSON
MLA
Harvard
Using Decision Tree Learner to Classify Solvency Position for Thai
Non-life Insurance Companies
release_tucqmreppzgg7dmtk5pbevah44
by
Phaiboon Jhongpita, Sukree Sinthupinyo, Thitivadee Chaiyawat
Released
as a article
.
2012
Abstract
This paper introduces a Decision Tree Learner as an early warning system for
classification of the non-life insurance companies according to their financial
solid as strong, moderate, weak, or insolvency. In this study, we ran several
experiments to show that the proposed model can achieve a good result using
standard 10 fold crossvalidation, split train and test data set, and separated
test set. The results show that the method is effective and can accurately
classify the solvency position.
In text/plain
format
Archived Files and Locations
application/pdf 192.5 kB
file_y2g62r5xb5ewhok3jk2uevvqbm
|
arxiv.org (repository) web.archive.org (webarchive) |
Read Archived PDF
Preserved and Accessible
arXiv
1203.3031v1
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
access all versions, variants, and formats of this works (eg, pre-prints)
Cite This
Lookup Links