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All Journal Emerging Science Journal
Leonardo Vanneschi
NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Campus de Campolide, 1070-312 Lisboa,
Environmental Science

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The Benefits of Automated Machine Learning in Hospitality: A Step-By-Step Guide and AutoML Tool Mauro Castelli; Diego Costa Pinto; Saleh Shuqair; Davide Montali; Leonardo Vanneschi
Emerging Science Journal Vol 6, No 6 (2022): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2022-06-06-02

Abstract

The manuscript presents a tool to estimate and predict data accuracy in hospitality by means of automated machine learning (AutoML). It uses a tree-based pipeline optimization tool (TPOT) as a methodological framework. The TPOT is an AutoML framework based on genetic programming, and it is particularly useful to generate classification models, for regression analysis, and to determine the most accurate algorithms and hyperparameters in hospitality. To demonstrate the presented tool’s real usefulness, we show that the TPOT findings provide further improvement, using a real-world dataset to convert key hospitality variables (customer satisfaction, loyalty) to revenue, with up to 93% prediction accuracy on unseen data. Doi: 10.28991/ESJ-2022-06-06-02 Full Text: PDF
Co-Authors Davide Montali Diego Costa Pinto Mauro Castelli Saleh Shuqair