Breast cancer poses a serious threat to women, as it is highly morbid and lethal. Doctors find it challenging to develop a treatment plan that could increase patient survival time due to the lack of reliable prognosis models. Therefore, figuring out a method that outcome in the least amount of wrongdoings while improving productivity requires time. In the paper, SVM, Logistic Regression, Random Forest, XGBoost, AdaBoost, kNearest Neighbors, Naive Bayes and custom ensemble Classifiers.
