Abstract

There are no typical symptoms of cancer; instead, it depends on the section of the body where the cancer has developed. Cancer is a well-known fatal disease that spreads throughout the body of the patient and is basically an uncommon, abnormal, or distinct sort of growth of tissues or cells. The goal of this endeavor is to make a contribution to the healthcare industry. It concerns the malignant or benign nature of a tumour. The report primarily focuses on the causes of breast cancer, using several machine learning algorithms that can be used for prediction, and then comparing the accuracy of each method. We utilised the most recent techniques because the earlier systems we evaluated applied fewer techniques, used an older database, and used overfitting of data so that we could compare more methods, we chose the most recent database. Our machine learning model has outperformed a number of current cutting-edge breast cancer prediction tools.

Key words: SVM, Decision Trees , Random Forest, prediction.