This leads to the inference that SVM with SGD would be a better parameter, but this would be inaccurate due to the fact that breast tumour classification in Assiri et al. [70], have parameters such as the radius of curvature, which can be correctly classified using a gradient descent in a hyperplane; but would be incapable to do so for features that belong only to the exome dataset, as using the same models led to a decrease in precision for ‘Non BRCA1/BRCA2 familial breast cancer’ in our proposed study. The gene discussed is BRCA1; the disease is hereditary breast carcinoma.