Stroke Disease Classification with help of a ANOVA and Repeated StratiFiedKFold

The Department for Heart and Stroke Prevention is to improve cardiovascular health for everyone, minimize load, and eliminate disparities in cardiovascular and stroke-related illnesses. An acute stroke happens whenever a portion of the brain receives less blood or is obstructed, depriving the mind's cells of oxygen and nutrients. Brain cells begin to deteriorate within minutes. Considering that a stroke is a medical issue, it's crucial to act swiftly. Brain damage and difficulties can be reduced with early intervention. By evaluating the characteristics of preprocessing utilizing quantile transformation and hyperparameters, the article's main objective is to categorize two unique data sets depending on stroke sickness. In this paper, a range of ML models to categorize strokes, such as the SVM, KNN, Random Forest, Naive Bayes, logistic regression, Decision Tree, Repeated StratifiedKFold with an average accuracy of 96%.