Prediction of Breast Cancer based on Various Medical Symptoms Using Machine Learning Algorithms

Nowadays, breast cancer is a relatively common type of cancer. It's been seen in a lot of women lately, and it's been the cause of a lot of deaths. There is a need to predict the probability of cancer at early stages so that necessary actions can be taken timely to avoid this deadly disease. Machine Learning a a new Artificial Intelligence technique and its power is yet to be discovered for cancer prediction. The power of machine learning classifiers is used to predict breast cancer in this study. The prediction accuracy of four machine learning classifiers, Support Vector Classifier, Random Forest Classifier, Gradient Boosting Classifier and Ada Boost Classifier is calculated on a standard data set. According to the results of the experiment, Support Vector Classifier trumps the other three in terms of prediction accuracy.