Detection Of Breast Tumour Using Advanced Methods

Breast cancer is a dangerous disease that can be fatal if left unchecked. It is the main reason people die in females and occurs in both men and women. Adenocarcinoma the most prevalent kind of breast cancer, and early diagnosis is crucial for effective treatment. A hybrid model combining several machine learning algorithms has been proposed to diagnose adenocarcinoma accurately. The model is based on ensemble learning and is easy to implement using cheaper and safer methods. Random Forest provides the maximum accuracy (86-90%) with the least amount of error.