Table 3 This Confusion Matrix reports the performance of our system trained on CPTAC Ovarian Cancer Confirmatory Study Proteomic Dataset and tested on TCGA Cancer Proteome Study of Ovarian Tissue (216 samples). The matrix compares the actual target values (Truth) with those predicted (Pred.) by our model. On first diagonal are reported the samples correctly classified, whereas on second diagonal are reported the misclassified samples. The TCGA dataset only presents samples from the Tumor class.

From: Machine Learning analysis of high-grade serous ovarian cancer proteomic dataset reveals novel candidate biomarkers