Predicting Breast Cancer Using Classical Machine Learning and Deep Learning Algorithms

Abstract

Cancer is the source of nearly one in six fatalities. There are numerous cancer types, breast cancer being one of them. IT can be easily detected by certain symptoms. Breast cancer affects not only women but also men; it affects around 12.5% of women in Europe, the United States, and 5% of women in India. We can detect the risk of Breast cancer by using some machine learning and deep learning algorithms. The accuracy that was obtained using the machine learning algorithms was good enough that is 92%. Thiswas obtained by the Random Forest Classifier. The other machine learning algorithms were also good, but this got the highest accuracy score. Whereas the deep learning algorithms had significantly higher scores than the machine learning algorithms. The RNN model scored 98%, which was the highest. Breast Cancer Wisconsin (Diagnostic) Set Of data is the set of information that was used.