Analyzing the Performance of Stroke Prediction using ML Classification Algorithms

A Stroke is a health condition that causes damage by tearing the blood vessels in brain. It can also occur when there halt flow and other nutrients to According World Health Organization (WHO), stroke leading cause of death disability globally. Most work has been carried out on prediction heart but very few works show risk brain stroke. With this thought, various machine learning models are built predict possibility This paper taken physiological factors used algorithms like Logistic Regression, Decision Tree Classification, Random Forest K-Nearest Neighbors, Support Vector Machine Naïve Bayes Classification train five different for accurate prediction. The algorithm best performed task gave an accuracy approximately 82%.