Open AccessPredicting Breast Cancer using Modern Data Science Methodology
Author(s) -
Vinoothna Manohar Botcha,
Kolla Bhanu Prakash
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.j1077.0881019
Subject(s) - breast cancer , cancer , random forest , medicine , oncology , statistics , computer science , artificial intelligence , mathematics
Breast Cancer is the mass occurring cancer in women according to the World Health Organization(WHO), But the early prediction of breast cancer helps in the recovery for the effected one's. Reasons for breast cancer were Hormone replacement therapy or getting explore to harmful radioactive rays and due to late childbearing. The aim is to diagnose cancer by using a machine learning technique, Random Forest, for accurate solutions. The dataset we used is the Wisconsin Breast Cancer dataset. The output which the error rate was only about "0.0177"