In classification, finding the optimal model to handle a specific problem is crucial. Various algorithms, such as Naïve Bayes, Decision Tree, and Support Vector Machines (SVM), each have their own strengths and weaknesses. One commonly used technique to enhance model performance is Bagging, the ensemble technique. Bagging combines weak models into a stronger model by reducing bias and variance…