These data consist of 683 patients, each measuring 9 features include: clump thickness, uniformity of cell size and uniformity of cell shape, marginal adhesion, single epithelial cell size, bare nuclei, bland chromatin, normal nucleoli, and mitoses. The data are classified into 2 categories, including benign (65% of the data) and malignant (35% of the data).
Aylarshadbakhsh/Cancer-detection
Classification of the data into two categories, including benign and malignant using ANN, SVM, Decision Tree , and KNN with MATLAB
MATLAB