Abstract:

 Nowadays, Breast cancer is a profoundly serious disease that many women have been being diagnosed with in the past few decades. For starters, Breast Cancer is mainly the formation and grouping of some malignant cancerous cells inside the cells of the breast. Even though breast cancer is the second most cancerous disease that women get diagnosed with, Men also can get diagnosed with it, but it is not very likely. Breast cancer can be deadly if not detected quickly and in its early phases. Subsequently, scientists have been searching for a method to help them address this problem efficiently, and their studies lead them to machine learning. Recently, Breast cancer Prediction has been one of the most progressing topics in machine learning as with some features processing of the authentic datasets and classifying algorithms (KNN, decision tree, naïve Bayes), you can easily disclose and spotlight whether a tumor is benign or malignant. A malignant tumor is a cancerous tumor that spreads, and the benign is the tumor that does not spread and is not destructive.