Sensitivity and specificity for the stratification representatives.

The performance metrics for the representative stratifications identified by ClustAll when applied to the breast cancer dataset. The "Nomenclature" column shows the identifier for each stratification. "Distance Metric" and "Clustering Method" columns indicate the similarity measure and clustering algorithm used, respectively. "Embedding depth" refers to the level in the dendrogram at which the embedding was created during the Data Complexity Reduction step. "Sensitivity" shows the proportion of true positive cases (malignant tumors) correctly classified by the stratification. "Specificity" indicates the proportion of true negative cases (benign tumors) correctly classified. Both are calculated by comparing the stratification results to the reference column (true labels) in the dataset.