LeFood-set: Baseline performance of predicting level of leftovers food dataset in a hospital using MT learning

• Yuita Arum Sari ,

  Contributed equally to this work with: Yuita Arum Sari, Atsushi Nakazawa

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

  * yuita@ub.ac.id; sari0y0mif@s.okayama-u.ac.jp

  Affiliations Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Kita-Ku, Okayama, Japan, Faculty of Computer Science, Brawijaya University, Malang, Indonesia

  https://orcid.org/0000-0001-9580-5538

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• Atsushi Nakazawa ,

  Contributed equally to this work with: Yuita Arum Sari, Atsushi Nakazawa

  Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

  Affiliation Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, Kita-Ku, Okayama, Japan

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• Yudi Arimba Wani

  Roles Conceptualization, Data curation, Methodology, Validation

  Affiliation Nutrition Department, Faculty of Health Sciences, Brawijaya University, Malang, Indonesia

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