Articoli correlati a Data Exploration and Machine Learning using R: SVM...

Data Exploration and Machine Learning using R: SVM and Logistic Regression on Cleveland Heart Disease Dataset - Brossura

Patel, Swati

 
9786138948971: Data Exploration and Machine Learning using R: SVM and Logistic Regression on Cleveland Heart Disease Dataset
Brossura
ISBN 10: 6138948971 ISBN 13: 9786138948971
Casa editrice: Scholars' Press, 2021

Sinossi

Cardiovascular diseases are common these days to every age group of patient. The early stage prediction may help in adapting healthy lifestyle so that high risk of life threat can be avoided. The researchers are continuously finding links from existing data sources so that heart diseases can be predicted at early stages. There are proven data mining techniques such as decision trees, support vector machine, logistic regression useful in prognosis of heart disease. This research focuses on predicting hear diseases using support vector machine and linear regression technique. The Cleveland heart disease dataset is used as sample dataset to find accuracy of these two chosen techniques. The comparison shows that logistic regression gives accurate results than support vector machine on heart disease dataset. The research analysis is conducted in R script where Cleveland Heart Disease Dataset is analyzed and two models (SVM, logistic regression) are implemented using R. The project concentrates on applying Support Vector Machine and Logistic Regression techniques on the above mentioned dataset.

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Editore
Scholars' Press
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
6138948971
ISBN 13 
9786138948971
Rilegatura
Copertina flessibile
Numero di pagine
52
Contatto del produttore
non disponibile
Persona responsabile
non disponibile