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Title:
Using heterogeneous sources of data and interpretability of prediction models to explain the characteristics of careless respondents in survey data
Authors:
ID
Kopitar, Leon
(
Author
)
ID
Štiglic, Gregor
(
Author
)
Files:
s41598-023-40209-2.pdf
(2,59 MB)
MD5: 402A25B1A230DDA93F60FE5F7308C51E
https://www.nature.com/articles/s41598-023-40209-2
Language:
English
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Keywords:
careless respondents
,
gradient boosting machine
,
GBM
,
questionnaire
,
SHAP
,
local interpretability
Publication status:
Published
Publication version:
Version of Record
Submitted for review:
26.01.2023
Article acceptance date:
07.08.2023
Publication date:
17.08.2023
Publisher:
Springer Nature (Nature Publishing Group)
Year of publishing:
2023
Number of pages:
str. 1-14
Numbering:
Vol. 13, [article no.] 13417
PID:
20.500.12556/DKUM-88762
UDC:
004.62:303.62
ISSN on article:
2045-2322
COBISS.SI-ID:
161795587
DOI:
10.1038/s41598-023-40209-2
Publication date in DKUM:
23.05.2024
Views:
288
Downloads:
12
Metadata:
Categories:
Misc.
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Record is a part of a journal
Title:
Scientific reports
Shortened title:
Sci. rep.
Publisher:
Nature Publishing Group
ISSN:
2045-2322
COBISS.SI-ID:
18727432
Document is financed by a project
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
P2-0057-2018
Name:
Informacijski sistemi
Funder:
ARIS - Slovenian Research and Innovation Agency
Project number:
N3-0307-2023
Name:
Obogatitev pogovornih razložljivih metod umetne inteligence v zdravstvu
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Secondary language
Language:
Slovenian
Keywords:
neprevidni anketiranci
,
gradient boosting
,
GBM
,
vprašalnik
,
SHAP
,
lokalna razložljivost
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