4546195
doi
10.5281/zenodo.4546195
oai:zenodo.org:4546195
user-bigdatagrapes
user-eu
Diego Rojo Garcia
KU Leuven
Katrien Verbert
KU Leuven
BigDataGrapes D5.3 - Trust-aware Decision Support System
Nyi Nyi Htun
KU Leuven
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
<p>This document presents an update of deliverable 5.3 where we demonstrate a decision support system that uses visualisation techniques to put domain experts in the loop of feature selection for the development of interpretable machine learning models. In the previous version of the deliverable, we delivered AHMoSE which compares and explains the predicted outcomes of various machine learning models and helps domain experts to select the models that fit their knowledge the most. However, we also discovered that factors such as end-users' understanding of individual features and the number of features can influence the interpretability of a system. Thus, end-users should be involved since the feature selection process.</p>
<p>In this deliverable, we present a system named GaCoVi (Gapped Correlation Visualisation), designed to put viticulture experts in the loop of the feature selection process which is a preliminary to the decision support offered by AHMoSE. We used two of the pilots, AUA and INRAE, to demonstrate GaCoVi with two real-life datasets.</p>
<p>This document is structured as follows. Section 1 lays out an introduction to the deliverable describing our previous version and motivations. In Section 2, GaCoVi is described together with the development technology we utilised. In Section 3, we provide a usage manual with instructions on how to obtain the source code. This document concludes with Section 4 where a summary of the deliverable is underlined.</p>
Zenodo
2020-12-18
info:eu-repo/semantics/report
4546194
user-bigdatagrapes
user-eu
3.0
award_title=Big Data to Enable Global Disruption of the Grapevine-powered Industries; award_number=780751; award_identifiers_scheme=url; award_identifiers_identifier=https://cordis.europa.eu/projects/780751; funder_id=00k4n6c32; funder_name=European Commission;
1613608043.217959
5774876
md5:11b987075a5915fd9153c547d36135a6
https://zenodo.org/records/4546195/files/D5.3 - Trust-aware decision support system_v3_(Submitted to EC).pdf
public
10.5281/zenodo.4546194
isVersionOf
doi