APPLICATION OF MACHINE LEARNING MODELS AND PARAMETERS FOR PREDICTION OF BREAST CANCER

Abstract

Breast cancer is the only type of cancer which is affecting the woman on a large scale because the tumors which are developed in the early stage of cancer or the origin of cancer these tumor cells or lumps are divided into two different kinds and both are dangerous in their own away as one of the lump is cancerous and other is not but both of them are one of the main reason behind the increasing numbers of death among the women. The purpose of the proposed research is control the rising tally of death day by day all over the world because there no efficient way of predicting or diagnosing the tumor of breast cancer whether the lumps developed in the patients are cancerous or not so, the objective of the proposed research is to overcome this major problem by using machine learning and deep learning as machine learning (ML) can provide certain tools which can be used in addition with hyper parametric for diagnosing the tumor in an efficient way that is the main reason behind the use of six supervised Machine Learning(ML) algorithm involving . The KNN, SVM, DT, and DP methods like Adam Gradient learning were utilized due to their adaptive gradient algorithm and root mean square propagation benefits; as in each model is has been proved that it shows more accuracy individually in the models or on comparing them with each other as the accuracy shown by these method was 98.50%. as described in result and discussion section.