Optimizing Classification Algorithms Using Soft Voting: A Case Study on Soil Fertility Dataset

Optimizing Classification Algorithms Using Soft Voting: A Case Study on Soil Fertility Dataset

Classification algorithms are crucial in developing predictive models that identify and classify soil fertility levels based on relevant attributes. However, optimizing classification algorithms presents a major challenge in enhancing the accuracy and effectiveness of these models. Therefore, this r...

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Bibliographic Details
Main Author:	Fatkhurridlo Pranoto Kamarudin
Format:	Article
Language:	English
Published:	Universitas Negeri Padang 2023-12-01
Series:	Jurnal Teknologi Informasi dan Pendidikan
Subjects:	ensemble learning ensemble soft voting agricultural analysis algorithm optimization
Online Access:	http://tip.ppj.unp.ac.id/index.php/tip/article/view/800

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