Development of a Machine Learning Model for Classifying Cooking Recipes According to Dietary Styles.
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ABSTRACT:
SUBMITTER: Yamaguchi M
PROVIDER: S-EPMC10930448 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature
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Development of a Machine Learning Model for Classifying Cooking Recipes According to Dietary Styles.
Yamaguchi Miwa M Araki Michihiro M Hamada Kazuki K Nojiri Tetsuya T Nishi Nobuo N
Foods (Basel, Switzerland) 20240222 5
To complement classical methods for identifying Japanese, Chinese, and Western dietary styles, this study aimed to develop a machine learning model. This study utilized 604 features from 8183 cooking recipes based on a Japanese recipe site. The data were randomly divided into training, validation, and test sets for each dietary style at a 60:20:20 ratio. Six machine learning models were developed in this study to effectively classify cooking recipes according to dietary styles. The evaluation in ...[more]
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