Cancer Prediction using Machine Learning


Authors : Sawan Verma; Saloni Chaudhary; Sunil Kumar; Pranav Singh Rana

Volume/Issue : Volume 7 - 2022, Issue 5 - May

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3A62TIv

DOI : https://doi.org/10.5281/zenodo.6670565

The breast cancer is very common and a dominant cancer in women over the world. It is increasing in countries which are developing and where most of the cases are prognosed in the late stages. Some of the strategies which were already suggested or proposed and shows a comparability between the ML algo by using various approach such as the ensemble approach , using blood analysis or Data mining algo ,etc.In this research paper there is a comparability of the two machine leaning algo RF(Random Forest) and Decision Tree. The data set was divided into the two stages that is training stage and the testing stage. The algo will be used in this application which gives the best results and then the approach of the model will be classifies that the cancer just as malignant or benign.

Keywords : Machine Learning, Breast Cancer, Identification, Classification, Prediction, Random Forest, Decision Tree, Malignant, Benign

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