Additional file 27: of A whole slide image-based machine learning approach to predict ductal carcinoma in situ (DCIS) recurrence risk

Supplementary Figure S17. Mean values for the continuous metrics obtained when using A) the class probability, or proportion of recurrence voting trees, using the original random forest model and B) the output of a random survival forest trained with the 8 selected features. The astrix (*) represents groups with significant (p <0.05) differences in averages. (PDF 233 kb)