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Дата издания
31.03.2023На каком языке издана
ISSN
3080-3829Область исследования
Аннотация (краткое описание)
The paper considers the comparative analyses of machine learning algorithms for dataset: cardio_train.csv from kaggle.com (link: https://www.kaggle.com/sulianova/cardiovascular-disease-dataset).Moreover, using machine learning algo-rithms there will be discovered the best accuracy algorithms for the cardio_train.csv. Considering procedures have done in Python 3.0 programming language, which represents confusion matrix and classification report, in order to see precision score, recall, f1-score, and support. Furthermore, in this paper you are able to see following classification models: KNN algorithm, Logistic Regression, Decision Tree, Random Forest, Naïve Bayes and SVM. As a result, it will be defined the superior accura-cy for processing medical dataset.DOI
10.51301/ce.2023.i1.03Тип публикаций
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Научные издания SU
Computing & Engineering
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