APPLICATION OF MACHINE LEARNING IN PREDICTING CHILDREN'S NUTRITIONAL STATUS WITH MULTIPLE LINEAR REGRESSION MODELS
نویسندگان
چکیده
Forecasting is an important part of making plans and decisions that can predict future events. techniques in this study used multiple linear regression. This aims to the number cases child nutritional status children each region. The purpose was see results predicting children's region make it easier nutrition. research method includes analysis system built design machine learning applications using Multiple Linear Regression method. Then help Aceh quickly, precisely, accurately. data on 2018, 2019, 2020. Based forecasting for 2021 based obtained previous years, predicted total are 449,0912126. indicate regression obtains best model by being able implementation learning.
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ژورنال
عنوان ژورنال: Multica Science and Technology
سال: 2022
ISSN: ['2776-2386']
DOI: https://doi.org/10.47002/mst.v2i2.363