首页|National Institute of Health and Nutrition Researcher Broadens Understanding of Machine Learning (Development of a Machine Learning Model for Classifying Cookin g Recipes According to Dietary Styles)
National Institute of Health and Nutrition Researcher Broadens Understanding of Machine Learning (Development of a Machine Learning Model for Classifying Cookin g Recipes According to Dietary Styles)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report.According to news reporting originating from O saka,Japan,by NewsRx correspondents,research stated,"To complement classical methods for identifying Japanese,Chinese,and Western dietary styles,this stu dy aimed to develop a machine learning model." Our news editors obtained a quote from the research from National Institute of H ealth and Nutrition:"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 machin e learning models were developed in this study to effectively classify cooking r ecipes according to dietary styles.The evaluation indicators were above 0.8 for all models in each dietary style.The top ten features were extracted from each model,and the features common to three or more models were employed as the bes t predictive features.Five well-predicted features were indicated for the follo wing seasonings:soy sauce,miso (fermented soy beans),and mirin (sweet cooking rice wine) in the Japanese diet; oyster sauce and doubanjiang (chili bean sauce ) in the Chinese diet; and olive oil in the Western diet."
National Institute of Health and Nutriti onOsakaJapanAsiaCyborgsEmerging TechnologiesMachine Learning
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