| Autor: |
Asha Gaikar, Dr. Uttara Gogate, Amar Panchal |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
International Journal for Research in Applied Science and Engineering Technology. 11:1011-1017 |
| ISSN: |
2321-9653 |
| DOI: |
10.22214/ijraset.2023.50262 |
| Popis: |
This research proposes early prediction of stroke disease using different machine learning approaches such as Logistic Regression Classifier, Decision Tree Classifier, Support Vector Machine and Random Forest Classifier. In this paper we have used different Machine Learning algorithm and by calculating their accuracy we are proposing fair comparisons of different Stoke prediction algorithms by using same dataset with same no of features. The researcher will help to predict the Stroke using best Machine Learning algorithm. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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