Steps to Classify the Breast Cancer type accuracy using Support Vector Machine – AI Machine LearningJournal: International Journal for Modern Trends in Science and Technology (IJMTST) (Vol.5, No. 11)
Publication Date: 2019-11-30
Authors : Subash Kumar;
Page : 157-160
Keywords : IJMTST;
Timely diagnosis of any disease is critical in medical field, with increasing population of breast cancer patients, this paper is dedicated to all medical professionals who are trying to save many lives. Machine learning algorithm such as support vector machine will help physicians to diagnose accurately, I will explain the SVM algorithm step by step in this paper. In this study, Wisconsin diagnostic breast cancer data set is used to classify the tumors as Benign and Malignant. Performances of this classifier are evaluated by the model accuracy.
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Last modified: 2019-12-22 14:25:19