Abstract : Breast cancer is the most common reason for deaths due to cancer. It is very necessary to detect cancer at early stages. There are various Machine Learning techniques available for the purpose of diagnosis of breast cancer data. This paper presents a Machine Learning model to perform automated diagnosis for breast cancer. Evaluating the correctness in classifying data based on accuracy and time consumption is used to determine the efficiency of the algorithms, which is the main objective. To predict whether the cause is benign or malignant we have used the breast cancer dataset. The SVM classifier gives more accurate and precise results as compared to other ML algorithms.
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Breast Cancer Prediction Using Machine Learning
Breast Cancer Detection Using Machine Learning Code
Breast Cancer Detection Using Machine Learning code and documents
Breast Cancer Prediction through Machine Learning project
Breast Cancer Detection Using Machine Learning Project
Breast Cancer Detection Project
Full stack Breast Cancer Detection Project
