Figure 2From: Classification models for clear cell renal carcinoma stage progression, based on tumor RNAseq expression trained supervised machine learning algorithmsSensitivity - Specificity plots. The sensitivity - specificity plot for the classifiers was analyzed to reveal optimal prediction of the models. All the generated prediction models had higher sensitivity than specificity. Random Forest based classifier was ranked highest with optimal performance in sensitivity and specificity.Back to article page