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

Language: English

Published by Scholars' Press, 2021

6138948971 / 9786138948971

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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. …

Seller Inventory # 9786138948971

Title
Data Exploration and Machine Learning using R : SVM and Logistic Regression on Cleveland Heart Disease Dataset
Author
Swati Patel
Publisher
Scholars' Press
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6138948971
ISBN 13
9786138948971
Item weight
96 grams
Dimensions
220x150x4 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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First itemUS$ 39.80US$ 51.17
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