BreastCancerDiagnosis

This repository contains dataset that classify breast cancer tumors as benign or malignant. The project includes a comprehensive dataset of breast cancer features and employs various classification algorithms, such as Support Vector Machines, Random Forest,Logistics Regression and Decision Tree.This data was donated by researchers of the University of Wisconsin and includes the measurements from digitized images of fine-needle aspirate of a breast mass.The breast cancer data includes 569 examples of cancer biopsies, each with 32 features. One feature is an identification number, another is the cancer diagnosis and 30 are numeric-valued laboratory measurements. The diagnosis is coded as "M" to indicate malignant or "B" to indicate benign.Out of which 357 are benign and 212 are malignant. You can find the dataset at https://github.com/dataspelunking/MLwR/blob/master/Machine%20Learning%20with%20R%20(2nd%20Ed.)/Chapter%2003/wisc_bc_data.csv.