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- W3139075488 abstract "The purpose of the publication is to analyse popular classification algorithms in machine learning. The following classifiers were studied: Naive Bayes Classifier, Decision Tree and AdaBoost Ensemble Algorithm. Their advantages and disadvantages are discussed. Research shows that there is no comprehensive universal method or algorithm for classification in machine learning. Each method or algorithm works well depending on the specifics of the task and the data used." @default.
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- W3139075488 date "2020-01-01" @default.
- W3139075488 modified "2023-10-01" @default.
- W3139075488 title "NAIVE BAYES CLASSIFIER, DECISION TREE AND ADABOOST ENSEMBLE ALGORITHM – ADVANTAGES AND DISADVANTAGES" @default.
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- W3139075488 doi "https://doi.org/10.31410/eraz.2020.153" @default.
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