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The scatterplot of the posterior probability of classification for the malignant, benign, and normal brain tissues were using PC1 and PC4 as diagnostically significant components. The separating lines were calculated using SVM algorithm, which yields a diagnostic sensitivity of 90.9% and specificity of 100% for identifying cancer from benign and normal brain tissue.
