Performance Analysis of Breast Cancer Predictor using Machine Learning Techniques
Raj K Sinha, Meeta Patel, Sandeep Gupta, Keshav Kumar Sinha, Prateeksha · 2024
In women, breast cancer stands as a leading cause of death among all types of cancer globally. Death rates can be mitigated through early prediction of breast cancer. Various machine learning techniques play a significant role in detecting breast cancer at an early stage. It is essential to develop a machine learning model with high accuracy and precision to predict breast cancer disease effectively. This paper employs various machine learning techniques to predict breast cancer. The performance evaluation of these techniques is conducted in terms of precision, accuracy, and F1-score. The Extra Trees Classifier emerged with the highest accuracy, reaching 97.23%.