Early Detection Of Breast Cancer Using Logistic Regression Method

Breast cancer is the most frequently occurring disease in women. It reported almost 14% of cancers Indian women are breast cancer. becomes very crucial to predict earlier minimize deaths. This research article helps and reduce immature deaths India. In this paper, authors have used Logistic Regression method classify disease. The simulate results using logistic regression with 10-fold cross-validations a different train-test split dataset. cross validations display its potential 94% performance paper. With all features 90-10 , 80-20,50-50, 66-34 splits, achieve 96% accuracy. we accuracy measures like accuracy, sensitivity, specificity, kappa statistics get novelty model. study, use Wisconsin (Diagnostic) Data Set for Cancer, Created by Dr. William H. Wolberg, General Surgery Dept., University Wisconsin, Clinical Science Centre, Madison, WI 53792 [email protected] available at UCI ML Repository website.