Fig. 6: Quantitative results of prediction of biomarkers/mutations using pathologists’ assigned grade.
From: Confounding factors and biases abound when predicting molecular biomarkers from histological images
The plots illustrate the AUROC achieved by a support vector machine classifier trained to predict a biomarker/gene mutation from one-hot encoded histological grades. Bar heights represent mean AUROC values, whereas error bars indicate the 95% confidence (two-sided, using Student’s t-distribution) calculated across 100 class-stratified bootstrap sampling runs. Bar labels are colour-coded, with yellow denoting biomarkers and green denoting mutations.
