Predicitive Analysis of Breast Cancer using Multiple Classification Algorithms
Rahul Haripriya, Biju Gopalakrishnan, Vijayalakshmi Mohankumar, D Prawinsankar · 2021 Smart Technologies, Communication and Robotics (STCR) · 2021
The breast cancer is the vital cancer that plays the major role in the cancer types. These types of cancer are very dangerous to human's life especially females. Mostly females are affecting due to these types of cancer. In fact, we want to get precautioned to these cancers. The resources are taken from the machine learning repository that are available for the predictions of supervised machine learning technique. In this paper we have applied and analyzed the concept of the machine learning algorithms which have been evaluated for the cancer dataset. Based on the accuracy we have compared each algorithm. Upon the comparison we have calculated the good accuracy for the random forest and svm over 96 percent.