Comparative Analysis of Various Machine Learning Techniques to Predict Breast Cancer

Medical sciences have developed a lot in previous years which has significantly boosted the average lifespan of Humans. Researchers have developed medications and therapies to cure many deadly diseases including Cancer. This has contributed to the healthcare sector as many ‘common’ deadly diseases like breast cancer have got effective treatment procedures. Advanced Technologies like Artificial Intelligence assist practitioners in the treatment of the same. Machine Learning and Neural Networks serve the purpose of predicting possible stages, symptoms, and patient-specific treatment of breast cancer. This manuscript suggests methods (algorithms) which can predict the type of breast cancer and categorize cases as Malignant or Benign. Also, it presents the comparison of the accuracy of different Algorithms over different Train-Test Ratios. Also, the accuracy of previously done research is compared with self-experimental results and reviewed for better accuracy.