Breast Cancer Predictor using Machine Learning

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Abstract

The problem of the Breast Cancer around the world among women becoming worsens each passing day. Curing of Breast Cancer disease is never easy for women. It is also become hard when women are in there 30’s. After several research or experiments by our doctors and scientists, there is no 100% curable treatment for the cancer. In India, in every 4 minutes one women is diagnosed with breast cancer and in every 13 minutes one women died due to breast cancer. Researchers are predicting that by 2030 in India the most deaths among women will be due to breast cancer. We can also say that due to lack of accurate prediction models results in the difficulty for doctors to prepare for a treatment plan. So, we must develop a model which gives good accuracy with minimum errors in less time. Three types of algorithms SVM, AdaBoost, XgBoost which predict the breast cancer will be discussed. All these algorithms will be executed and conducted on JUPYTER Notebook platform. This work is done to predict the outcomes of different types of techniques and which technique has good accuracy.

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Keywords

Machine Learning, Breast Cancer , Xg Boost (Extreme Gradient Boosting) , Support Vector Machine (SVM), AdaBoost (Adaptive Boosting), KNN (K-Nearest Neighbor),CNN Convolutional Neural Network)