Predictive Analysis for Identifying Survival of Covid-19 Patients Using Support Vector Machine over Logistic Regression
نویسندگان
چکیده
The use of Logistic Regression (LR) and Support Vector Machines (SVM) to identify the survival Covid 19 patients in a novel way is prime work. To forecast Covid-19 patients, LR algorithm SVM are iterated 20 times with sample size 10.In comparison 86.4% accuracy logistic regression technique, Machine approach offers 91.2% accuracy. In independent T-test, has high level significance. range this study, reveals aids data analysis classifier performance.
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ژورنال
عنوان ژورنال: Advances in parallel computing
سال: 2022
ISSN: ['1879-808X', '0927-5452']
DOI: https://doi.org/10.3233/apc220032