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

Internet

http://tip.ppj.unp.ac.id/index.php/tip/article/view/800

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