Predictive Analysis for Identifying Survival of Covid-19 Patients Using Support Vector Machine over Logistic Regression

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.