Open AccessEvaluation of Oversampling Methods (OVER, SMOTE, and ROSE) in Classifying Soil Liquefaction Dataset based on SVM, RF, and Naïve Bayes
Author(s) -
Selçuk Demir,
Emrehan Kutluğ Şahin
Publication year - 2022
Publication title -
european journal of science and technology
Language(s) - English
Resource type - Journals
ISSN - 2148-2683
DOI - 10.31590/ejosat.1077867
Subject(s) - oversampling , support vector machine , random forest , artificial intelligence , machine learning , naive bayes classifier , computer science , bayes' theorem , algorithm , sample (material) , class (philosophy) , pattern recognition (psychology) , data mining , bayesian probability , chemistry , computer network , bandwidth (computing) , chromatography
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