COMPARISON OF RANDOM FOREST AND NAÏVE BAYES METHODS FOR CLASSIFYING AND FORECASTING SOIL TEXTURE IN THE AREA AROUND DAS KALIKONTO, EAST JAVA

COMPARISON OF RANDOM FOREST AND NAÏVE BAYES METHODS FOR CLASSIFYING AND FORECASTING SOIL TEXTURE IN THE AREA AROUND DAS KALIKONTO, EAST JAVA

Soil texture is used to determine airflow, heat, instability, water holding capacity, and the shape and structure of the soil structure. Soil texture as an important attribute that determines the direction of soil management must be modeled accurately. However, soil texture is a soil attribute that...

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Bibliographic Details
Main Authors: Henny Pramoedyo, Danang Ariyanto, Novi Nur Aini
Format: Article
Language:English
Published: Universitas Pattimura 2022-12-01
Series:Barekeng
Subjects:
classification
prediction
random forest
naïve bayes
soil texture
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/6566
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