Linear discriminant analysis and support vector machines for classifying breast cancer

<span id="docs-internal-guid-4db59d91-7fff-c659-478a-6dd7456f380f"><span>Breast cancer is an abnormal cell growth in the breast that keeps changed uncontrolled and it forms a tumor. The tumor can be benign or malignant. Benign could not dangerous to health cancerous, but malignant has probability cancerous. A specialist doctor will diagnose patient give treatment based on diagnosis which Machine learning offer times efficiency determine cell. machine learn pattern information from dataset. Support vector machines linear discriminant analysis are common methods used classification of cancer. In this study, both support compared by looking accuracy, sensitivity, specificity, F1-score. We know better classifying result shows performance than analysis. It seen accuracy 98.77%.</span></span>