EVALUATION OF PERFORMANCE OF CLASSIFICATION ALGORITHMS IN PREDICTION OF HEART FAILURE DISEASE

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dc.contributor.authorCoşkun, Cevdet
dc.contributor.authorKuncan, Fatma
dc.date.accessioned2024-12-24T19:16:14Z
dc.date.available2024-12-24T19:16:14Z
dc.date.issued2022
dc.departmentSiirt Üniversitesi
dc.description.abstractSuccess rates and performances of Gaussian Naive Bayes, Support Vector Machines, Linear Discriminant Analysis, Decision Tree and Random Forest classifier algorithms from machine learning methods were evaluated using the Heart Failure Prediction dataset. Label encoder method was used primarily in data preprocessing techniques on the data set. Catalog data (5 pieces) in the data set have been converted into numerical data. In addition, it was observed that there were negative values in the data in a field and this situation was converted to values in the range of 0 - 1 with min-max conversion methods. After the pre-processing, analyzes were made with classification algorithms. As a result of these analyzes, a success rate of 90.76% was achieved with the random forest algorithm, which is an ensemble classifier. In the study, 80% of the data was used for training and 20% for testing. Of the 184 data used for the test, 102 of them were patients with heart failure and 72 of them were from those without the disease. The success of the random forest algorithm in estimating those with heart failure disease was 93.1% (95 observations), and the success in predicting those without the disease was 87.8% (72 observations).
dc.identifier.doi10.17780/ksujes.1144570
dc.identifier.endpage632
dc.identifier.issn1309-1751
dc.identifier.issue4
dc.identifier.startpage622
dc.identifier.trdizinid1158858
dc.identifier.urihttps://doi.org/10.17780/ksujes.1144570
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1158858
dc.identifier.urihttps://hdl.handle.net/20.500.12604/4301
dc.identifier.volume25
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.relation.ispartofKSÜ Mühendislik Bilimleri Dergisi
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectMachine learning
dc.subjectclassification algorithms
dc.subjectheart failure
dc.subjectData mining
dc.titleEVALUATION OF PERFORMANCE OF CLASSIFICATION ALGORITHMS IN PREDICTION OF HEART FAILURE DISEASE
dc.typeArticle

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