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Found 1 from your keywords: author=Hikmahwarani, Fellycia

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KNOWLEDGE DISCOVERY DALAM MEMPREDIKSI SKOR SUSTAINABLE DEVELOPMENT GOALS (SDG…

SDGs score prediction is important in assisting the planning and evaluation of policies to achieve these global targets. This study aims to compare the performance of several regression algorithms in predicting the SDGs score: Polynomial Regression, Support Vector Regression, Random Forest Regression, and Gradient Boosting Regressor. The dataset used consists of data on country names, years, SD…

Edition: -
ISBN/ISSN: -
Collation: xiv, 83 hlm.; ilus.; tab.; 29 cm.
Series Title: -
Call Number: T1895962025

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