Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model

Robbie T. Nakatsu

doi:10.1007/978-3-031-61315-9_16

Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model

Information Systems and Business Analytics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	HCI in Business, Government and Organizations - 11th International Conference, HCIBGO 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings
Editors	Fiona Fui-Hoon Nah, Keng Leng Siau
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	223-236
Number of pages	14
ISBN (Print)	9783031613142
DOIs	https://doi.org/10.1007/978-3-031-61315-9_16
State	Published - 2024
Event	11h International Conference on HCI in Business, Government and Organizations, HCIBGO 2024, held as part of the 26th HCI International Conference, HCII 2024 - Washington, United States Duration: Jun 29 2024 → Jul 4 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	14720 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11h International Conference on HCI in Business, Government and Organizations, HCIBGO 2024, held as part of the 26th HCI International Conference, HCII 2024
Country/Territory	United States
City	Washington
Period	6/29/24 → 7/4/24

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Explainable AI
Fitting Graph
Forward Selection
Human-Computer Interaction (HCI)
Information Visualization
Machine Learning
Polynomial Regression
Regression Modeling
Stepwise Regression

Access to Document

10.1007/978-3-031-61315-9_16

Cite this

Nakatsu, R. T. (2024). Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model. In F. F.-H. Nah, & K. L. Siau (Eds.), HCI in Business, Government and Organizations - 11th International Conference, HCIBGO 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings (pp. 223-236). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14720 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-61315-9_16

Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model. / Nakatsu, Robbie T.
HCI in Business, Government and Organizations - 11th International Conference, HCIBGO 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. ed. / Fiona Fui-Hoon Nah; Keng Leng Siau. Springer Science and Business Media Deutschland GmbH, 2024. p. 223-236 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14720 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nakatsu, RT 2024, Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model. in FF-H Nah & KL Siau (eds), HCI in Business, Government and Organizations - 11th International Conference, HCIBGO 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 14720 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 223-236, 11h International Conference on HCI in Business, Government and Organizations, HCIBGO 2024, held as part of the 26th HCI International Conference, HCII 2024, Washington, United States, 6/29/24. https://doi.org/10.1007/978-3-031-61315-9_16

Nakatsu RT. Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model. In Nah FFH, Siau KL, editors, HCI in Business, Government and Organizations - 11th International Conference, HCIBGO 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 223-236. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-61315-9_16

Nakatsu, Robbie T. / Explainable AI in Machine Learning Regression: Creating Transparency of a Regression Model. HCI in Business, Government and Organizations - 11th International Conference, HCIBGO 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Proceedings. editor / Fiona Fui-Hoon Nah ; Keng Leng Siau. Springer Science and Business Media Deutschland GmbH, 2024. pp. 223-236 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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