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Authors: José Augusto Câmara ; José Maria Monteiro and Javam Machado

Affiliation: Universidade Federal do Ceará, Brazil

Keyword(s): Machine Learning, Predictive Tasks, Regression, Classification.

Abstract: Currently, professionals from the most diverse areas of knowledge need to explore their data repositories in order to extract knowledge and create new products or services. Several tools have been proposed in order to facilitate the tasks involved in the Data Science lifecycle. However, such tools require their users to have specific (and deep) knowledge in different areas of Computing and Statistics, making their use practically unfeasible for non-specialist professionals in data science. In this paper, we present the developing and evaluating of a tool called DSAdvisor, which aims to encourage non-expert users to build machine learning models to solve predictive tasks (regression and classification), extracting knowledge from their data repositories. To evaluate DSAdvisor, we applied the System Usability Scale (SUS) questionnaire to measure aspects of usability in accordance with the user’s subjective assessment and the Net Promoter Score (NPS) method to measure user satisfaction a nd willingness to recommend it to others. This study involved 20 respondents who were divided into two groups, namely experts and non-expert users. The SUS method had a score of 68.5 which means a “good” product, and the results of using NPS get a value of 55% which means “very good” NPS. (More)

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Paper citation in several formats:
Augusto Câmara, J.; Maria Monteiro, J. and Machado, J. (2023). Developing and Evaluating a Tool to Support Predictive Tasks. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-648-4; ISSN 2184-4992, SciTePress, pages 279-286. DOI: 10.5220/0012039200003467

@conference{iceis23,
author={José {Augusto Câmara}. and José {Maria Monteiro}. and Javam Machado.},
title={Developing and Evaluating a Tool to Support Predictive Tasks},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2023},
pages={279-286},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012039200003467},
isbn={978-989-758-648-4},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Developing and Evaluating a Tool to Support Predictive Tasks
SN - 978-989-758-648-4
IS - 2184-4992
AU - Augusto Câmara, J.
AU - Maria Monteiro, J.
AU - Machado, J.
PY - 2023
SP - 279
EP - 286
DO - 10.5220/0012039200003467
PB - SciTePress

- Science and Technology Publications, Lda.
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